2008
Journal article
Open Access
Interactive rendering of dynamic geometry
Ponchio F, Hormann K
Fluid simulations typically produce complex threedimensional iso-surfaces whose geometry and topology change over time. The standard way of representing such "dynamic geometry" is by a set of iso-surfaces that are extracted individually at certain time steps. An alternative strategy is to represent the whole sequence as a four-dimensional tetrahedral mesh. The iso-surface at a specific time step can then be computed by intersecting the tetrahedral mesh with a threedimensional hyperplane. This not only allows to animate the surface continuously over time without having to worry about the topological changes, but also enables simplification algorithms to exploit temporal coherence. We show how to interactively render such four-dimensional tetrahedral meshes by improving previous GPU-accelerated techniques and building an out-of-core multi-resolution structure based on quadric-error simplification. As a second application we apply our framework to time-varying surfaces that result from morphing one triangle mesh into another.Source: IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, vol. 14 (issue 4), pp. 914-925
DOI: 10.1109/tvcg.2008.35
Metrics:
Ponchio F, Hormann K
Fluid simulations typically produce complex threedimensional iso-surfaces whose geometry and topology change over time. The standard way of representing such "dynamic geometry" is by a set of iso-surfaces that are extracted individually at certain time steps. An alternative strategy is to represent the whole sequence as a four-dimensional tetrahedral mesh. The iso-surface at a specific time step can then be computed by intersecting the tetrahedral mesh with a threedimensional hyperplane. This not only allows to animate the surface continuously over time without having to worry about the topological changes, but also enables simplification algorithms to exploit temporal coherence. We show how to interactively render such four-dimensional tetrahedral meshes by improving previous GPU-accelerated techniques and building an out-of-core multi-resolution structure based on quadric-error simplification. As a second application we apply our framework to time-varying surfaces that result from morphing one triangle mesh into another.Source: IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, vol. 14 (issue 4), pp. 914-925
DOI: 10.1109/tvcg.2008.35
Metrics:
See at:
IEEE Transactions on Visualization and Computer Graphics 
| IEEE Transactions on Visualization and Computer Graphics 
| CNR IRIS | ieeexplore.ieee.org | CNR IRIS
2007
Software
Metadata Only Access
Virtual Inspector: un applicativo per la fruizione interattiva di beni culturali
Ponchio F
Il sistema Virtual Inspector consente all'utente non esperto di visualizzare un modello geometrico di grandi dimensioni interattivamente su standard pc. VI present il modello e tutti i dati multimediali che sono collegati a punti della superficie. VI impiega una interfaccia utente facile da utilizzare, basata sulla metafore point and click. L'efficienza in visualizzazione è ottenuta, senza sacrificare la qualità, utilizzando techniche allo stato dell'arte sulla rappresentazione a livello di dettaglio. Infine, l'uso di una codific aXML per la struttura dell GUI rende VI flessibile e facilmente configurabile
Ponchio F
Il sistema Virtual Inspector consente all'utente non esperto di visualizzare un modello geometrico di grandi dimensioni interattivamente su standard pc. VI present il modello e tutti i dati multimediali che sono collegati a punti della superficie. VI impiega una interfaccia utente facile da utilizzare, basata sulla metafore point and click. L'efficienza in visualizzazione è ottenuta, senza sacrificare la qualità, utilizzando techniche allo stato dell'arte sulla rappresentazione a livello di dettaglio. Infine, l'uso di una codific aXML per la struttura dell GUI rende VI flessibile e facilmente configurabile
See at:
CNR IRIS
2016
Conference article
Open Access
Teaching (digital) epigraphy
Lamé M, Ponchio F, Radmanlivaja I, Robertson B
Although having the experience of directly manipulating an ancient textbearing artifact is important for developing the skills of an epigrapher - an experience that books and photo cannot replace - such access to primary sources is often problematic. In this article we present our experience with teaching students to transcribe and interpret Roman inscribed lead tags, using a Digital Autoptic Process (DAP) in a Web environment, so to develop basic competences in epigraphy and digital epigraphy.
Lamé M, Ponchio F, Radmanlivaja I, Robertson B
Although having the experience of directly manipulating an ancient textbearing artifact is important for developing the skills of an epigrapher - an experience that books and photo cannot replace - such access to primary sources is often problematic. In this article we present our experience with teaching students to transcribe and interpret Roman inscribed lead tags, using a Digital Autoptic Process (DAP) in a Web environment, so to develop basic competences in epigraphy and digital epigraphy.
2019
Conference article
Open Access
Heterotoki: Non-structured and heterogeneous terminology alignment for Digital Humanities data producers
Lame M., Pittet P., Ponchio F., Markhoff B., Sanfilippo E. M.
In this paper, we present an online communication-driven decision support system to align terms from a dataset with terms of another dataset (standardized controlled vocabulary or not). Heterotoki differs from existing proposals in that it takes place at the interface with humans, inviting the experts to commit on their definitions, so as to either agree to validate the mapping or to propose some enrichment to the terminologies. More precisely, differently to most of existing proposals that support terminology alignment, Heterotoki sustains the negotiation of meaning thanks to semantic coordination support within its interface design. This negotiation involves domain experts having produced multiple datasets.Source: CEUR WORKSHOP PROCEEDINGS, pp. 37-48. Rome, Italy, 3 June, 2019
Lame M., Pittet P., Ponchio F., Markhoff B., Sanfilippo E. M.
In this paper, we present an online communication-driven decision support system to align terms from a dataset with terms of another dataset (standardized controlled vocabulary or not). Heterotoki differs from existing proposals in that it takes place at the interface with humans, inviting the experts to commit on their definitions, so as to either agree to validate the mapping or to propose some enrichment to the terminologies. More precisely, differently to most of existing proposals that support terminology alignment, Heterotoki sustains the negotiation of meaning thanks to semantic coordination support within its interface design. This negotiation involves domain experts having produced multiple datasets.Source: CEUR WORKSHOP PROCEEDINGS, pp. 37-48. Rome, Italy, 3 June, 2019
See at:
ceur-ws.org | CNR IRIS | ISTI Repository | CNR IRIS
2020
Journal article
Open Access
Neural reflectance transformation imaging
Dulecha T G, Fanni F A, Ponchio F, Pellacini F, Giachetti A
Reflectance transformation imaging (RTI) is a computational photography technique widely used in the cultural heritage and material science domains to characterize relieved surfaces. It basically consists of capturing multiple images from a fixed viewpoint with varying lights. Handling the potentially huge amount of information stored in an RTI acquisition that consists typically of 50-100 RGB values per pixel, allowing data exchange, interactive visualization, and material analysis, is not easy. The solution used in practical applications consists of creating "relightable images" by approximating the pixel information with a function of the light direction, encoded with a small number of parameters. This encoding allows the estimation of images relighted from novel, arbitrary lights, with a quality that, however, is not always satisfactory. In this paper, we present NeuralRTI, a framework for pixel-based encoding and relighting of RTI data. Using a simple autoencoder architecture, we show that it is possible to obtain a highly compressed representation that better preserves the original information and provides increased quality of virtual images relighted from novel directions, especially in the case of challenging glossy materials. We also address the problem of validating the relight quality on different surfaces, proposing a specific benchmark, SynthRTI, including image collections synthetically created with physical-based rendering and featuring objects with different materials and geometric complexity. On this dataset and as well on a collection of real acquisitions performed on heterogeneous surfaces, we demonstrate the advantages of the proposed relightable image encoding.Source: THE VISUAL COMPUTER, pp. 2161-2174
DOI: 10.1007/s00371-020-01910-9
Metrics:
Dulecha T G, Fanni F A, Ponchio F, Pellacini F, Giachetti A
Reflectance transformation imaging (RTI) is a computational photography technique widely used in the cultural heritage and material science domains to characterize relieved surfaces. It basically consists of capturing multiple images from a fixed viewpoint with varying lights. Handling the potentially huge amount of information stored in an RTI acquisition that consists typically of 50-100 RGB values per pixel, allowing data exchange, interactive visualization, and material analysis, is not easy. The solution used in practical applications consists of creating "relightable images" by approximating the pixel information with a function of the light direction, encoded with a small number of parameters. This encoding allows the estimation of images relighted from novel, arbitrary lights, with a quality that, however, is not always satisfactory. In this paper, we present NeuralRTI, a framework for pixel-based encoding and relighting of RTI data. Using a simple autoencoder architecture, we show that it is possible to obtain a highly compressed representation that better preserves the original information and provides increased quality of virtual images relighted from novel directions, especially in the case of challenging glossy materials. We also address the problem of validating the relight quality on different surfaces, proposing a specific benchmark, SynthRTI, including image collections synthetically created with physical-based rendering and featuring objects with different materials and geometric complexity. On this dataset and as well on a collection of real acquisitions performed on heterogeneous surfaces, we demonstrate the advantages of the proposed relightable image encoding.Source: THE VISUAL COMPUTER, pp. 2161-2174
DOI: 10.1007/s00371-020-01910-9
Metrics:
See at:
The Visual Computer | CNR IRIS | link.springer.com | The Visual Computer | ISTI Repository | CNR IRIS
2022
Journal article
Open Access
A toolbox for measuring heterogeneity and efficiency using zonotopes
Cococcioni M, Grazzi M, Li L, Ponchio F
In this work, we describe the new command zonotope, which, by resorting to a geometry-based approach, provides a measure of productivity that fully accounts for the existing heterogeneity across firms within the same industry. The method we propose also enables assessment of the extent of multidimensional heterogeneity with applications to fields beyond that of production analysis. Finally, we detail the functioning of the software to perform the related empirical analysis, and we discuss the main computational issues encountered in its development.Source: THE STATA JOURNAL, vol. 22 (issue 1), pp. 25-59
DOI: 10.1177/1536867x221083854
Project(s): ISIGrowth
Metrics:
Cococcioni M, Grazzi M, Li L, Ponchio F
In this work, we describe the new command zonotope, which, by resorting to a geometry-based approach, provides a measure of productivity that fully accounts for the existing heterogeneity across firms within the same industry. The method we propose also enables assessment of the extent of multidimensional heterogeneity with applications to fields beyond that of production analysis. Finally, we detail the functioning of the software to perform the related empirical analysis, and we discuss the main computational issues encountered in its development.Source: THE STATA JOURNAL, vol. 22 (issue 1), pp. 25-59
DOI: 10.1177/1536867x221083854
Project(s): ISIGrowth
Metrics:
See at:
CNR IRIS | journals.sagepub.com | ISTI Repository | The Stata Journal Promoting communications on statistics and Stata | Archivio della Ricerca - Università di Pisa | CNR IRIS | CNR IRIS
2023
Conference article
Open Access
Ancient coins' surface inspection with web-based neural RTI visualization
Righetto L, Gobbetti E, Ponchio F, Traviglia A, De Bernardin M, Giachetti A
The use of neural encodings has the potential to replace the commonly used polynomial fitting in the analysis of artwork surface based on Reflectance Transformation Imaging (RTI), as it has proved to result in more compact encoding with better relight quality, but it is still not widely used due to the lack of efficient implementations available to practitioners. In this work, we describe an optimized system to encode/decode neural relightable images providing interactive visualization in a web interface allowing multi-layer visualization and annotation. To develop it, we performed several experiments testing different decoder architectures and input processing pipelines, evaluating the quality of the results on specific benchmarks to find the optimal tradeoff between relighting quality and efficiency. A specific decoder has been then implemented for the web and integrated into an advanced visualisation tool. The system has been tested for the analysis of a group of ancient Roman bronze coins that present scarce readability and varying levels of preservation and that have been acquired with a multispectral light dome. Their level of corrosion and degradation, which in some cases hinders the recognition of the images, numerals, or text represented on them, makes the system testing particularly challenging and complex. Testing on such a real case scenario, however, enables us to determine the actual improvement that this new RTI visualization tool can offer to numismatists in their ability to identify the coins.Source: PROCEEDINGS OF SPIE, p. 12620:0D. Munich, Germany, 26-29/06/2023
DOI: 10.1117/12.2674888
Metrics:
Righetto L, Gobbetti E, Ponchio F, Traviglia A, De Bernardin M, Giachetti A
The use of neural encodings has the potential to replace the commonly used polynomial fitting in the analysis of artwork surface based on Reflectance Transformation Imaging (RTI), as it has proved to result in more compact encoding with better relight quality, but it is still not widely used due to the lack of efficient implementations available to practitioners. In this work, we describe an optimized system to encode/decode neural relightable images providing interactive visualization in a web interface allowing multi-layer visualization and annotation. To develop it, we performed several experiments testing different decoder architectures and input processing pipelines, evaluating the quality of the results on specific benchmarks to find the optimal tradeoff between relighting quality and efficiency. A specific decoder has been then implemented for the web and integrated into an advanced visualisation tool. The system has been tested for the analysis of a group of ancient Roman bronze coins that present scarce readability and varying levels of preservation and that have been acquired with a multispectral light dome. Their level of corrosion and degradation, which in some cases hinders the recognition of the images, numerals, or text represented on them, makes the system testing particularly challenging and complex. Testing on such a real case scenario, however, enables us to determine the actual improvement that this new RTI visualization tool can offer to numismatists in their ability to identify the coins.Source: PROCEEDINGS OF SPIE, p. 12620:0D. Munich, Germany, 26-29/06/2023
DOI: 10.1117/12.2674888
Metrics:
See at:
CNR IRIS | ISTI Repository | www.spiedigitallibrary.org | doi.org | CNR IRIS
2008
Other
Restricted
Multiresolution structures for interactive visualization of very large 3D datasets
Federico Ponchio
In this thesis we present a series of patch-based multi-resolution structures for terrains, general meshes and animations, which combine either triangle bin-tree hierarchy or a Multi-Triangulation (MT) approach with efficient, GPU friendly data structures and out-of-core techniques, where boundary continuity is automatically enforced.
Federico Ponchio
In this thesis we present a series of patch-based multi-resolution structures for terrains, general meshes and animations, which combine either triangle bin-tree hierarchy or a Multi-Triangulation (MT) approach with efficient, GPU friendly data structures and out-of-core techniques, where boundary continuity is automatically enforced.
See at:
CNR IRIS | CNR IRIS | vcg.isti.cnr.it
2023
Conference article
Open Access
Effective interactive visualization of neural relightable images in a web-based multi-layered framework
Righetto L., Bettio F., Ponchio F., Giachetti A., Gobbetti E.
Relightable images created from Multi-Light Image Collections (MLICs) are one of the most commonly employed models for interactive object exploration in cultural heritage. In recent years, neural representations have been shown to produce higherquality images, at similar storage costs, with respect to the more classic analytical models such as Polynomial Texture Maps (PTM) or Hemispherical Harmonics (HSH). However, their integration in practical interactive tools has so far been limited due to the higher evaluation cost, making it difficult to employ them for interactive inspection of large images, and to the difficulty in integration cost, due to the need to incorporate deep-learning libraries in relightable renderers. In this paper, we illustrate how a state-of-the-art neural reflectance model can be directly evaluated, using common WebGL shader features, inside a multiplatform renderer. We then show how this solution can be embedded in a scalable framework capable to handle multi-layered relightable models in web settings. We finally show the performance and capabilities of the method on cultural heritage objects.DOI: 10.2312/gch.20231158
Metrics:
Righetto L., Bettio F., Ponchio F., Giachetti A., Gobbetti E.
Relightable images created from Multi-Light Image Collections (MLICs) are one of the most commonly employed models for interactive object exploration in cultural heritage. In recent years, neural representations have been shown to produce higherquality images, at similar storage costs, with respect to the more classic analytical models such as Polynomial Texture Maps (PTM) or Hemispherical Harmonics (HSH). However, their integration in practical interactive tools has so far been limited due to the higher evaluation cost, making it difficult to employ them for interactive inspection of large images, and to the difficulty in integration cost, due to the need to incorporate deep-learning libraries in relightable renderers. In this paper, we illustrate how a state-of-the-art neural reflectance model can be directly evaluated, using common WebGL shader features, inside a multiplatform renderer. We then show how this solution can be embedded in a scalable framework capable to handle multi-layered relightable models in web settings. We finally show the performance and capabilities of the method on cultural heritage objects.DOI: 10.2312/gch.20231158
Metrics:
See at:
diglib.eg.org | CNR IRIS | CNR IRIS
2024
Journal article
Open Access
Efficient and user-friendly visualization of neural relightable images for cultural heritage applications
Righetto L., Khademizadeh M., Giachetti A., Ponchio F., Gigilashvili D., Bettio F., Gobbetti E.
We introduce an innovative multi-resolution framework for encoding and interactively visualizing large relightable images using a neural reflectance model derived from a state-of-the-art technique. The framework is seamlessly integrated into a scalable multi-platform framework that supports adaptive streaming and exploration of multi-layered relightable models in web settings. To enhance efficiency, we optimized the neural model, simplified decoding, and implemented a custom WebGL shader specific to the task, eliminating the need for deep-learning library integration in the code. Additionally, we introduce an efficient level-of-detail management system supporting fine-grained adaptive rendering through on-the-fly resampling in latent feature space. The resulting viewer facilitates interactive neural relighting of large images. Its modular design allows the incorporation of functionalities for cultural heritage analysis, such as loading and simultaneous visualization of multiple relightable layers with arbitrary rotations.Source: ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE, vol. 17 (issue 4), pp. 1-24
DOI: 10.1145/3690390
Metrics:
Righetto L., Khademizadeh M., Giachetti A., Ponchio F., Gigilashvili D., Bettio F., Gobbetti E.
We introduce an innovative multi-resolution framework for encoding and interactively visualizing large relightable images using a neural reflectance model derived from a state-of-the-art technique. The framework is seamlessly integrated into a scalable multi-platform framework that supports adaptive streaming and exploration of multi-layered relightable models in web settings. To enhance efficiency, we optimized the neural model, simplified decoding, and implemented a custom WebGL shader specific to the task, eliminating the need for deep-learning library integration in the code. Additionally, we introduce an efficient level-of-detail management system supporting fine-grained adaptive rendering through on-the-fly resampling in latent feature space. The resulting viewer facilitates interactive neural relighting of large images. Its modular design allows the incorporation of functionalities for cultural heritage analysis, such as loading and simultaneous visualization of multiple relightable layers with arbitrary rotations.Source: ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE, vol. 17 (issue 4), pp. 1-24
DOI: 10.1145/3690390
Metrics:
See at:
IRIS - Università degli Studi di Verona | IRIS - Università degli Studi di Verona | IRIS - Università degli Studi di Verona | CNR IRIS | Journal on Computing and Cultural Heritage | CNR IRIS
2003
Journal article
Restricted
Fast tetrahedron-tetrahedron overlap algorithm
Ganovelli F, Ponchio F, Rocchini C
We present an algorithm to test two tetrahedra for overlap. The algorithm is based on a dimension reduction technique that allows to apply the Separating Axis Theorem avoiding part of the computation needed to perform the Separating Axis Test. Source code is available online.Source: ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (PRINT), vol. 7, pp. 17-26
Ganovelli F, Ponchio F, Rocchini C
We present an algorithm to test two tetrahedra for overlap. The algorithm is based on a dimension reduction technique that allows to apply the Separating Axis Theorem avoiding part of the computation needed to perform the Separating Axis Test. Source code is available online.Source: ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (PRINT), vol. 7, pp. 17-26
2011
Conference article
Restricted
3D-centered media linking and semantic enrichment through integrated searching, browsing, viewing and annotating
Pena Serna S, Scopigno R, Doerr M, Theodoridou M, Georgis C, Ponchio F, Stork A
The digitally documented world heritage is archived in databases or repositories, where collections of metadata, images, multimedia objects or nowadays even digital 3D artifacts can be stored and queried. Modeling and linking all this information is complex and involves refined categorizations and relations, which are usually accessed by either simplistic or overwhelmingly complex interfaces. Hence, finding the right level of abstraction for a general interface is very challenging. This becomes even more demanding, if in addition to collection exploration, semantic enrichment is required. This work focuses on the design and implementation of an integrated interface, in which four dedicated activities are combined and provided: i) flexible definition of relational queries, ii) browsing of multiple results and query refinement, iii) inspection and analysis of multimedia objects, and iv) building and enrichment of semantic relationships (data paths) between objects. This integrated interface can handle different kinds of multimedia objects, allowing for querying and annotating text, 2D images or 3D artifacts. We present the software design of this interface and the corresponding underlying model in the semantic network. This work is a general step toward interfacing to 3D Linked Open Data.DOI: 10.2312/vast/vast11/089-096
Project(s): 3D-COFORM
Metrics:
Pena Serna S, Scopigno R, Doerr M, Theodoridou M, Georgis C, Ponchio F, Stork A
The digitally documented world heritage is archived in databases or repositories, where collections of metadata, images, multimedia objects or nowadays even digital 3D artifacts can be stored and queried. Modeling and linking all this information is complex and involves refined categorizations and relations, which are usually accessed by either simplistic or overwhelmingly complex interfaces. Hence, finding the right level of abstraction for a general interface is very challenging. This becomes even more demanding, if in addition to collection exploration, semantic enrichment is required. This work focuses on the design and implementation of an integrated interface, in which four dedicated activities are combined and provided: i) flexible definition of relational queries, ii) browsing of multiple results and query refinement, iii) inspection and analysis of multimedia objects, and iv) building and enrichment of semantic relationships (data paths) between objects. This integrated interface can handle different kinds of multimedia objects, allowing for querying and annotating text, 2D images or 3D artifacts. We present the software design of this interface and the corresponding underlying model in the semantic network. This work is a general step toward interfacing to 3D Linked Open Data.DOI: 10.2312/vast/vast11/089-096
Project(s): 3D-COFORM
Metrics:
2011
Other
Open Access
PileBars: scalable dynamic thumbnail bars
Brivio Paolo, Ponchio Federico, Tarini Marco, Cignoni Paolo
We introduce PileBars, a new class of animated thumbnail-bars aimed at easing the browsing of very large image datasets (thousands of images). Since the bar is meant to be just one element of a GUI, it covers only a small portion of the screen; yet it provides a global view of the entire dataset, without any scrolling panels. Instead, thumbnails are dynamically rearranged, resized and reclustered into adaptive layouts during the entire browsing process. The objective is to make the user able, at the same time, to accurately pinpoint a specific image (even among semantically close ones), and to jump anywhere to "distant" parts of the dataset. The used thumbnail layouts also maximize temporal coherence, thus allowing for smooth animations from one layout to the next. The system is very general: it can be driven by any application-specific image-to-image semantic distance function, and respects any user-defined total ordering of the images; the ordering can be either inferred from the semantic or be chosen independently from it, depending on the application. The applicability of the resulting system is tested in a number of practical applications: browsing image collections from the web or personal achieves; navigation of 3D virtual scenes based on calibrated pictures; selection of a frame in a movie. In each test scenario, proper distance and ordering functions are fed to the system.
Brivio Paolo, Ponchio Federico, Tarini Marco, Cignoni Paolo
We introduce PileBars, a new class of animated thumbnail-bars aimed at easing the browsing of very large image datasets (thousands of images). Since the bar is meant to be just one element of a GUI, it covers only a small portion of the screen; yet it provides a global view of the entire dataset, without any scrolling panels. Instead, thumbnails are dynamically rearranged, resized and reclustered into adaptive layouts during the entire browsing process. The objective is to make the user able, at the same time, to accurately pinpoint a specific image (even among semantically close ones), and to jump anywhere to "distant" parts of the dataset. The used thumbnail layouts also maximize temporal coherence, thus allowing for smooth animations from one layout to the next. The system is very general: it can be driven by any application-specific image-to-image semantic distance function, and respects any user-defined total ordering of the images; the ordering can be either inferred from the semantic or be chosen independently from it, depending on the application. The applicability of the resulting system is tested in a number of practical applications: browsing image collections from the web or personal achieves; navigation of 3D virtual scenes based on calibrated pictures; selection of a frame in a movie. In each test scenario, proper distance and ordering functions are fed to the system.
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2012
Conference article
Restricted
CENOBIUM - A project for the multimedia representation of romanesque cloister capitals in the Mediterranean region
Dercks U, Ponchio F, Scopigno R
Das online-Projekt CENOBIUM ist eine multimediale Darstellung von romanischen Kreuzgangkapitellen in Form hoch auflösender Digitalfotografien und 3D-Modellen. Das Forschungsprojekt verfolgt das Ziel, Kapitelle mit ihren Originalstandorten virtuell zu verknu?pfen, um sie in ihrem architektonischen und historischen Zusammenhang zu präsentieren und den ku?nstlerischen Austausch im 12./13. Jahrhundert anhand der Bauskulptur aufzuzeigen. Seit 2007 ist das Projekt multimedial und multilingual online u?ber das Internet frei zugänglich. Im Mittelpunkt des ju?ngsten Updates standen unter anderem eine verbesserte Darstellung und eine optimierte Interaktivität der 3D-Modelle im Internet durch die Integration von WebGL-Technologie.
Dercks U, Ponchio F, Scopigno R
Das online-Projekt CENOBIUM ist eine multimediale Darstellung von romanischen Kreuzgangkapitellen in Form hoch auflösender Digitalfotografien und 3D-Modellen. Das Forschungsprojekt verfolgt das Ziel, Kapitelle mit ihren Originalstandorten virtuell zu verknu?pfen, um sie in ihrem architektonischen und historischen Zusammenhang zu präsentieren und den ku?nstlerischen Austausch im 12./13. Jahrhundert anhand der Bauskulptur aufzuzeigen. Seit 2007 ist das Projekt multimedial und multilingual online u?ber das Internet frei zugänglich. Im Mittelpunkt des ju?ngsten Updates standen unter anderem eine verbesserte Darstellung und eine optimierte Interaktivität der 3D-Modelle im Internet durch die Integration von WebGL-Technologie.
2015
Conference article
Open Access
Fast decompression for web-based view-dependent 3D rendering
Ponchio F, Dellepiane M
Efficient transmission of 3D data to Web clients and mobile applications remains a challenge due to limited bandwidth. Most of the research focus in the context of mesh compression has been on improving compression ratio. However, in this context the use of Javascript on the Web and low power CPUS in mobile applications led to critical computational costs. Progressive decoding improves the user experience by providing a simplified version of the model that refines with time, and it's able to mask latency. Current approaches do so at very poor compression rates or at additional computational cost. The need for better performing algorithms is especially evident with this class of methods where Limper [Limper et al. 2013b] demonstrated how decoding time becomes a limiting factor even at moderately low bandwidths. In this paper we present a novel multi-resolution WebGL based rendering algorithm which combines progressive loading, view-dependent resolution and mesh compression, providing high frame rates and a decoding speed of million of triangles per second in Javascript. This method is parallelizable, robust to non-manifold meshes, and scalable to very large models.DOI: 10.1145/2775292.2775308
Project(s): HARVEST4D
Metrics:
Ponchio F, Dellepiane M
Efficient transmission of 3D data to Web clients and mobile applications remains a challenge due to limited bandwidth. Most of the research focus in the context of mesh compression has been on improving compression ratio. However, in this context the use of Javascript on the Web and low power CPUS in mobile applications led to critical computational costs. Progressive decoding improves the user experience by providing a simplified version of the model that refines with time, and it's able to mask latency. Current approaches do so at very poor compression rates or at additional computational cost. The need for better performing algorithms is especially evident with this class of methods where Limper [Limper et al. 2013b] demonstrated how decoding time becomes a limiting factor even at moderately low bandwidths. In this paper we present a novel multi-resolution WebGL based rendering algorithm which combines progressive loading, view-dependent resolution and mesh compression, providing high frame rates and a decoding speed of million of triangles per second in Javascript. This method is parallelizable, robust to non-manifold meshes, and scalable to very large models.DOI: 10.1145/2775292.2775308
Project(s): HARVEST4D
Metrics:
See at:
ISTI Repository | dl.acm.org | doi.org | CNR IRIS | CNR IRIS | CNR IRIS
2016
Journal article
Open Access
Multiresolution and fast decompression for optimal web-based rendering
Ponchio F, Dellepiane M
Limited bandwidth is a strong constraint when efficient transmission of 3D data to Web clients and mobile applications is needed. In this paper we present a novel multi-resolution WebGL based rendering algorithm which combines progressive loading, view-dependent resolution and mesh compression, providing high frame rates and a decoding speed of million of triangles per second in JavaScript. The method is parallelizable and scalable to very large models. The algorithm is based on the local multi-resolution approaches provided by the community, but ad-hoc solutions had to be studied and implemented to provide adequate performances. In particular, a compression mechanism that reached very high compression rate without impact on rendering performance was implemented. Moreover, the data partition strategy was modified in order to be able to load different types of data (i.e. point clouds) and better adapt to the potentials and limitations of web-based rendering.Source: GRAPHICAL MODELS, vol. 88, pp. 1-11
DOI: 10.1016/j.gmod.2016.09.002
Project(s): ARIADNE, HARVEST4D
Metrics:
Ponchio F, Dellepiane M
Limited bandwidth is a strong constraint when efficient transmission of 3D data to Web clients and mobile applications is needed. In this paper we present a novel multi-resolution WebGL based rendering algorithm which combines progressive loading, view-dependent resolution and mesh compression, providing high frame rates and a decoding speed of million of triangles per second in JavaScript. The method is parallelizable and scalable to very large models. The algorithm is based on the local multi-resolution approaches provided by the community, but ad-hoc solutions had to be studied and implemented to provide adequate performances. In particular, a compression mechanism that reached very high compression rate without impact on rendering performance was implemented. Moreover, the data partition strategy was modified in order to be able to load different types of data (i.e. point clouds) and better adapt to the potentials and limitations of web-based rendering.Source: GRAPHICAL MODELS, vol. 88, pp. 1-11
DOI: 10.1016/j.gmod.2016.09.002
Project(s): ARIADNE
, HARVEST4D Metrics:
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CNR IRIS | ISTI Repository | www.sciencedirect.com | Graphical Models | CNR IRIS | CNR IRIS
2018
Journal article
Open Access
CENOBIUM 10 years after: an evolving platform for Digital Humanities
Dercks U, Ponchio F, Scopigno R
The Authors present CENOBIUM, a web-based system designed to support the work of art historians. It provides access to multimedia content and related descriptive text on a specific topic: capitals in Romanesque cloisters. This paper discusses the motivation behind the decision to develop this web resource, taken more than ten years ago. It describes the initial design of the often system and how it evolved to keep pace with technological developments. In a context where the results of ICT & CH projects (digital tools, websites) have life span barely exceeding the timeframe of the actual project, CENOBIUM can be considered a success. It has been operating and steadily been updated with new content and latest technologies throughout its decade-long life.Source: ARCHEOLOGIA E CALCOLATORI, vol. 2018 (issue 10), pp. 123-141
DOI: 10.19282/acs.10.2018.08
Metrics:
Dercks U, Ponchio F, Scopigno R
The Authors present CENOBIUM, a web-based system designed to support the work of art historians. It provides access to multimedia content and related descriptive text on a specific topic: capitals in Romanesque cloisters. This paper discusses the motivation behind the decision to develop this web resource, taken more than ten years ago. It describes the initial design of the often system and how it evolved to keep pace with technological developments. In a context where the results of ICT & CH projects (digital tools, websites) have life span barely exceeding the timeframe of the actual project, CENOBIUM can be considered a success. It has been operating and steadily been updated with new content and latest technologies throughout its decade-long life.Source: ARCHEOLOGIA E CALCOLATORI, vol. 2018 (issue 10), pp. 123-141
DOI: 10.19282/acs.10.2018.08
Metrics:
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CNR IRIS | ISTI Repository | www.progettocaere.rm.cnr.it | CNR IRIS
2018
Conference article
Open Access
Visualizing and transcribing complex writings through RTI
Ponchio F, Lamè M, Scopigno R, Robertson B
This paper presents our digital publishing process and its editing system developed for a specific use case - the scholarly digital edition of a set of Roman inscribed lead tags - but suited for analyzing a broad variety of text-bearing objects. This pipeline covers the spectrum of the activities from data acquisition of the visual aspects to complex analysis of the writings and text of incised inscriptions. It employs a twodimensional medium, Reflection Transformation Images (RTI), to support visual analysis. The visual and textual data it generates are open access, ready to be used for machine learning processes.DOI: 10.1109/cist.2018.8596602
Metrics:
Ponchio F, Lamè M, Scopigno R, Robertson B
This paper presents our digital publishing process and its editing system developed for a specific use case - the scholarly digital edition of a set of Roman inscribed lead tags - but suited for analyzing a broad variety of text-bearing objects. This pipeline covers the spectrum of the activities from data acquisition of the visual aspects to complex analysis of the writings and text of incised inscriptions. It employs a twodimensional medium, Reflection Transformation Images (RTI), to support visual analysis. The visual and textual data it generates are open access, ready to be used for machine learning processes.DOI: 10.1109/cist.2018.8596602
Metrics:
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CNR IRIS | ieeexplore.ieee.org | ISTI Repository | doi.org | CNR IRIS
2020
Journal article
Open Access
Real-World textured things: a repository of textured models generated with modern photo-reconstruction tools
Maggiordomo A, Ponchio F, Cignoni P, Tarini M
We are witnessing a proliferation of textured 3D models captured from the real world with automatic photo-reconstruction tools by people and professionals without a proper technical background in computer graphics. Digital 3D models of this class come with a unique set of characteristics and defects - especially concerning their parametrization - setting them starkly apart from 3D models originating from other, more traditional, sources. We study this class of 3D models by collecting a significant number of representatives and quantitatively evaluating their quality according to several metrics. These include a new invariant metric we carefully design to assess the amount of fragmentation of the UV map, which is one of the main weaknesses potentially hindering the usability of these models. Our results back the widely shared notion that models of this new class are still not fit for direct use in downstream applications (such as videogames), and require challenging processing steps. Regrettably, existing automatic geometry processing tools are not always up to the task: for example, we verify that the available tools for UV optimization often fail due to mesh inconsistencies, geometric and topological noise, excessive resolution, or other factors; moreover, even when an output is produced, it rarely represents a significant improvement over the input (according to the aforementioned measures). Therefore, we argue that further advancements are required by the computer graphics and geometry processing communities specifically targeted at this class of models. Towards this goal, we share the models we collected in this study as a new public repository, Real-World Textured Things (RWTT), intended as a benchmark to systematic field-test and compare future algorithms. RWTT consists of 568 carefully selected textured 3D models representative of the most popular photo-reconstruction tools currently available. We also provide a web interface to browse the dataset by the metadata we collected during our experiments and a tool, TexMetro, to compute the same set of measures on generic UV mapped datasets.Source: COMPUTER AIDED GEOMETRIC DESIGN, vol. 83 (issue 101943)
DOI: 10.1016/j.cagd.2020.101943
DOI: 10.48550/arxiv.2004.14753
Project(s): ENCORE
Metrics:
Maggiordomo A, Ponchio F, Cignoni P, Tarini M
We are witnessing a proliferation of textured 3D models captured from the real world with automatic photo-reconstruction tools by people and professionals without a proper technical background in computer graphics. Digital 3D models of this class come with a unique set of characteristics and defects - especially concerning their parametrization - setting them starkly apart from 3D models originating from other, more traditional, sources. We study this class of 3D models by collecting a significant number of representatives and quantitatively evaluating their quality according to several metrics. These include a new invariant metric we carefully design to assess the amount of fragmentation of the UV map, which is one of the main weaknesses potentially hindering the usability of these models. Our results back the widely shared notion that models of this new class are still not fit for direct use in downstream applications (such as videogames), and require challenging processing steps. Regrettably, existing automatic geometry processing tools are not always up to the task: for example, we verify that the available tools for UV optimization often fail due to mesh inconsistencies, geometric and topological noise, excessive resolution, or other factors; moreover, even when an output is produced, it rarely represents a significant improvement over the input (according to the aforementioned measures). Therefore, we argue that further advancements are required by the computer graphics and geometry processing communities specifically targeted at this class of models. Towards this goal, we share the models we collected in this study as a new public repository, Real-World Textured Things (RWTT), intended as a benchmark to systematic field-test and compare future algorithms. RWTT consists of 568 carefully selected textured 3D models representative of the most popular photo-reconstruction tools currently available. We also provide a web interface to browse the dataset by the metadata we collected during our experiments and a tool, TexMetro, to compute the same set of measures on generic UV mapped datasets.Source: COMPUTER AIDED GEOMETRIC DESIGN, vol. 83 (issue 101943)
DOI: 10.1016/j.cagd.2020.101943
DOI: 10.48550/arxiv.2004.14753
Project(s): ENCORE
Metrics:
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arXiv.org e-Print Archive | Computer Aided Geometric Design | CNR IRIS | Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano | www.sciencedirect.com | Computer Aided Geometric Design | doi.org | CNR IRIS | CNR IRIS
2020
Contribution to book
Restricted
Considering the rates of growth in two taxa of coral across Pacific islands
Sandin Sa, Edwards Cb, Pedersen Ne, Petrovic V, Pavoni G, Alcantar E, Chancellor Ks, Fox Md, Stallings B, Sullivan Cj, Rotjan Rd, Ponchio F, Zgliczynski Bj
Reef-building coral taxa demonstrate considerable flexibility and diversity in reproduction and growth mechanisms. Corals take advantage of this flexibility to increase or decrease size through clonal expansion and loss of live tissue area (i.e. via reproduction and mortality of constituent polyps). The biological lability of reef-building corals may be expected to map onto varying patterns of demography across environmental contexts which can contribute to geographic variation in population dynamics. Here we explore the patterns of growth of two common coral taxa, corymbose Pocillopora and massive Porites, across seven islands in the central and south Pacific. The islands span a natural gradient of environmental conditions, including a range of pelagic primary production, a metric linked to the relative availability of inorganic nutrients and heterotrophic resources for mixotrophic corals, and sea surface temperature and thermal histories. Over a multi-year sampling interval, most coral colonies experienced positive growth (greater planar area of live tissue in second relative to first time point), though the distributions of growth varied across islands. Island-level median growth did not relate simply to estimated pelagic primary productivity or temperature. However, at locations that experienced an extreme warm-water event during the sampling interval, most Porites colonies experienced net losses of live tissue and nearly all Pocillopora colonies experienced complete mortality. While descriptive statistics of demographics offer valuable insights into trends and variability in colony change through time, simplified models predicting growth patterns based on summarized oceanographic metrics appear inadequate for robust demographic prediction. We propose that the complexity of life history strategies among colonial reef-building corals introduces unique demographic flexibility for colonies to respond to a wide breadth of environmental conditions.DOI: 10.1016/bs.amb.2020.08.006
Metrics:
Sandin Sa, Edwards Cb, Pedersen Ne, Petrovic V, Pavoni G, Alcantar E, Chancellor Ks, Fox Md, Stallings B, Sullivan Cj, Rotjan Rd, Ponchio F, Zgliczynski Bj
Reef-building coral taxa demonstrate considerable flexibility and diversity in reproduction and growth mechanisms. Corals take advantage of this flexibility to increase or decrease size through clonal expansion and loss of live tissue area (i.e. via reproduction and mortality of constituent polyps). The biological lability of reef-building corals may be expected to map onto varying patterns of demography across environmental contexts which can contribute to geographic variation in population dynamics. Here we explore the patterns of growth of two common coral taxa, corymbose Pocillopora and massive Porites, across seven islands in the central and south Pacific. The islands span a natural gradient of environmental conditions, including a range of pelagic primary production, a metric linked to the relative availability of inorganic nutrients and heterotrophic resources for mixotrophic corals, and sea surface temperature and thermal histories. Over a multi-year sampling interval, most coral colonies experienced positive growth (greater planar area of live tissue in second relative to first time point), though the distributions of growth varied across islands. Island-level median growth did not relate simply to estimated pelagic primary productivity or temperature. However, at locations that experienced an extreme warm-water event during the sampling interval, most Porites colonies experienced net losses of live tissue and nearly all Pocillopora colonies experienced complete mortality. While descriptive statistics of demographics offer valuable insights into trends and variability in colony change through time, simplified models predicting growth patterns based on summarized oceanographic metrics appear inadequate for robust demographic prediction. We propose that the complexity of life history strategies among colonial reef-building corals introduces unique demographic flexibility for colonies to respond to a wide breadth of environmental conditions.DOI: 10.1016/bs.amb.2020.08.006
Metrics:
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doi.org | IRIS Cnr | CNR IRIS | pubmed.ncbi.nlm.nih.gov | pubmed.ncbi.nlm.nih.gov | www.sciencedirect.com | IRIS Cnr