2016
Patent
Unknown
Method for computationally designing a re-usable flexible mold
Malomo L., Pietroni N., Bickel B., Cignoni P.
Source: EP3301597, Europeo
Malomo L., Pietroni N., Bickel B., Cignoni P.
Source: EP3301597, Europeo
See at: CNR ExploRA
2013
Patent
Open Access
Mesh joinery: method for converting a 3D model into a set of planar shapes that can be interlocked to compose a self-supporting structure
Cignoni P., Pietroni N., Malomo L., Scopigno R.
Source: RM2013A000439, Nazionale, 2015
Cignoni P., Pietroni N., Malomo L., Scopigno R.
Source: RM2013A000439, Nazionale, 2015
See at:
ISTI Repository 
| CNR ExploRA
2019
Report
Open Access
SOROS: Sciadro online reconstruction by odometry and stereo-matching
Ganovelli F., Malomo L., Scopigno R.
In this report we show how to interactively create 3D models for scenes seen by a common off-the-shelf smartphone. Our approach combines Visual Odometry with IMU sensors in order to achieve interactive 3D reconstruction of the scene as seen from the camera.Source: ISTI Technical reports, 2019
Ganovelli F., Malomo L., Scopigno R.
In this report we show how to interactively create 3D models for scenes seen by a common off-the-shelf smartphone. Our approach combines Visual Odometry with IMU sensors in order to achieve interactive 3D reconstruction of the scene as seen from the camera.Source: ISTI Technical reports, 2019
See at:
ISTI Repository | CNR ExploRA
2015
Journal article
Open Access
Mesh joinery: a method for building fabricable structures
Cignoni P., Pietroni N., Malomo L., Scopigno R.
Mesh joinery is an innovative method to produce illustrative shape approximations suitable for fabrication. Mesh joinery is capable of producing complex fabricable structures in an efficient and visually pleasing manner. We represent an input geometry as a set of planar pieces arranged to compose a rigid structure by exploiting an efficient slit mechanism. Since slices are planar, a standard 2D cutting system is sufficient to fabricate them.Source: ERCIM news 101 (2015): 44–45.
Project(s): HARVEST4D
Cignoni P., Pietroni N., Malomo L., Scopigno R.
Mesh joinery is an innovative method to produce illustrative shape approximations suitable for fabrication. Mesh joinery is capable of producing complex fabricable structures in an efficient and visually pleasing manner. We represent an input geometry as a set of planar pieces arranged to compose a rigid structure by exploiting an efficient slit mechanism. Since slices are planar, a standard 2D cutting system is sufficient to fabricate them.Source: ERCIM news 101 (2015): 44–45.
Project(s): HARVEST4D
See at:
ercim-news.ercim.eu | CNR ExploRA
2015
Conference article
Restricted
LecceAR: an augmented reality App
Banterle F., Cardillo F. A., Malomo L., Pingi P., Gabellone F., Amato G., Scopigno R.
This paper discusses a case study on the use of augmented reality (AR) within the context of cultural heritage. We implemented an iOS app for markerless AR that will be exhibited at the MUST museum in Lecce, Italy. The app shows a rich 3D reconstruction of the Roman amphitheater, which is nowadays only partially visible. The use of state-of-the-art algorithms in computer graphics and computer vision allows the viewing and the exploration of the ancient theater in real-time.Source: DiPP2015 - Digital Presentation and Preservation of Cultural and Scientific Heritage. International Conference, pp. 99–108, Veliko Tarnovo, Bulgaria, 28-30 September 2015
Banterle F., Cardillo F. A., Malomo L., Pingi P., Gabellone F., Amato G., Scopigno R.
This paper discusses a case study on the use of augmented reality (AR) within the context of cultural heritage. We implemented an iOS app for markerless AR that will be exhibited at the MUST museum in Lecce, Italy. The app shows a rich 3D reconstruction of the Roman amphitheater, which is nowadays only partially visible. The use of state-of-the-art algorithms in computer graphics and computer vision allows the viewing and the exploration of the ancient theater in real-time.Source: DiPP2015 - Digital Presentation and Preservation of Cultural and Scientific Heritage. International Conference, pp. 99–108, Veliko Tarnovo, Bulgaria, 28-30 September 2015
See at:
www.ceeol.com 
| CNR ExploRA
2015
Conference article
Open Access
Compression and querying of arbitrary geodesic distances
Aiello R., Banterle F., Pietroni N., Malomo L., Cignoni P., Scopigno R.
In this paper, we propose a novel method for accelerating the computation of geodesic distances over arbitrary manifold triangulated surfaces. The method is based on a preprocessing step where we build a data structure. This allows to store arbitrary complex distance metrics. We show that, by exploiting the precomputed data, the proposed method is significantly faster than the classical Dijkstra algorithm for the computation of point to point distances. Moreover, as we precompute exact geodesic distances, the proposed approach can be more accurate than state-of-the-art approximations.Source: Image Analysis and Processing. 18th International Conference, ICIAP 2015, pp. 282–293, Genoa, Italy, 7-11/09/2015
DOI: 10.1007/978-3-319-23231-7_26
Metrics:
Aiello R., Banterle F., Pietroni N., Malomo L., Cignoni P., Scopigno R.
In this paper, we propose a novel method for accelerating the computation of geodesic distances over arbitrary manifold triangulated surfaces. The method is based on a preprocessing step where we build a data structure. This allows to store arbitrary complex distance metrics. We show that, by exploiting the precomputed data, the proposed method is significantly faster than the classical Dijkstra algorithm for the computation of point to point distances. Moreover, as we precompute exact geodesic distances, the proposed approach can be more accurate than state-of-the-art approximations.Source: Image Analysis and Processing. 18th International Conference, ICIAP 2015, pp. 282–293, Genoa, Italy, 7-11/09/2015
DOI: 10.1007/978-3-319-23231-7_26
Metrics:
See at:
link.springer.com | ISTI Repository | vcg.isti.cnr.it | doi.org | CNR ExploRA
2016
Report
Open Access
ISTI young research award 2016
Barsocchi P., Candela L., Ciancia V., Dellepiane M., Esuli A., Girardi M., Girolami M., Guidotti R., Lonetti F., Malomo L., Moroni D., Nardini F. M., Palumbo F., Pappalardo L., Pascali M. A., Rinzivillo S.
The ISTI Young Researcher Award is an award for young people of Institute of Information Science and Technologies (ISTI) with high scientific production. In particular, the award is granted to young staff members (less than 35 years old) by assessing the yearly scientific production of the year preceding the award. This report documents procedure and results of the 2016 edition of the award.Source: ISTI Technical reports, 2016
Barsocchi P., Candela L., Ciancia V., Dellepiane M., Esuli A., Girardi M., Girolami M., Guidotti R., Lonetti F., Malomo L., Moroni D., Nardini F. M., Palumbo F., Pappalardo L., Pascali M. A., Rinzivillo S.
The ISTI Young Researcher Award is an award for young people of Institute of Information Science and Technologies (ISTI) with high scientific production. In particular, the award is granted to young staff members (less than 35 years old) by assessing the yearly scientific production of the year preceding the award. This report documents procedure and results of the 2016 edition of the award.Source: ISTI Technical reports, 2016
See at:
ISTI Repository | CNR ExploRA
2016
Journal article
Open Access
FlexMolds: Automatic Design of Flexible Shells for Molding
Malomo L., Pietroni N., Bickel B., Cignoni P.
We present FlexMolds, a novel computational approach to automatically design flexible, reusable molds that, once 3D printed, allow us to physically fabricate, by means of liquid casting, multiple copies of complex shapes with rich surface details and complex topology. The approach to design such flexible molds is based on a greedy bottom-up search of possible cuts over an object, evaluating for each possible cut the feasibility of the resulting mold. We use a dynamic simulation approach to evaluate candidate molds, providing a heuristic to generate forces that are able to open, detach, and remove a complex mold from the object it surrounds. We have tested the approach with a number of objects with nontrivial shapes and topologies.Source: ACM transactions on graphics 35 (2016). doi:10.1145/2980179.2982397
DOI: 10.1145/2980179.2982397
Project(s): SoMa
Metrics:
Malomo L., Pietroni N., Bickel B., Cignoni P.
We present FlexMolds, a novel computational approach to automatically design flexible, reusable molds that, once 3D printed, allow us to physically fabricate, by means of liquid casting, multiple copies of complex shapes with rich surface details and complex topology. The approach to design such flexible molds is based on a greedy bottom-up search of possible cuts over an object, evaluating for each possible cut the feasibility of the resulting mold. We use a dynamic simulation approach to evaluate candidate molds, providing a heuristic to generate forces that are able to open, detach, and remove a complex mold from the object it surrounds. We have tested the approach with a number of objects with nontrivial shapes and topologies.Source: ACM transactions on graphics 35 (2016). doi:10.1145/2980179.2982397
DOI: 10.1145/2980179.2982397
Project(s): SoMa
Metrics:
See at:
ISTI Repository | IST PubRep | ACM Transactions on Graphics | dl.acm.org | ACM Transactions on Graphics | CNR ExploRA
2018
Journal article
Open Access
State of the art on stylized fabrication
Bickel B., Cignoni P., Malomo L., Pietroni N.
Digital fabrication devices are powerful tools for creating tangible reproductions of 3D digital models. Most available printing technologies aim at producing an accurate copy of a tridimensional shape. However, fabrication technologies can also be used to create a stylistic representation of a digital shape. We refer to this class of methods as 'stylized fabrication methods'. These methods abstract geometric and physical features of a given shape to create an unconventional representation, to produce an optical illusion or to devise a particular interaction with the fabricated model. In this state-of-the-art report, we classify and overview this broad and emerging class of approaches and also propose possible directions for future research.Source: Computer graphics forum (Print) 37 (2018): 325–342. doi:10.1111/cgf.13327
DOI: 10.1111/cgf.13327
Project(s): EMOTIVE, MATERIALIZABLE
Metrics:
Bickel B., Cignoni P., Malomo L., Pietroni N.
Digital fabrication devices are powerful tools for creating tangible reproductions of 3D digital models. Most available printing technologies aim at producing an accurate copy of a tridimensional shape. However, fabrication technologies can also be used to create a stylistic representation of a digital shape. We refer to this class of methods as 'stylized fabrication methods'. These methods abstract geometric and physical features of a given shape to create an unconventional representation, to produce an optical illusion or to devise a particular interaction with the fabricated model. In this state-of-the-art report, we classify and overview this broad and emerging class of approaches and also propose possible directions for future research.Source: Computer graphics forum (Print) 37 (2018): 325–342. doi:10.1111/cgf.13327
DOI: 10.1111/cgf.13327
Project(s): EMOTIVE
, MATERIALIZABLE Metrics:
See at:
ISTI Repository | Computer Graphics Forum | Computer Graphics Forum | onlinelibrary.wiley.com | CNR ExploRA
2018
Report
Unknown
Metamolds: Computational design of silicone molds
Alderighi T., Malomo L., Giorgi D., Pietroni N., Bickel B., Cignoni P.
We propose a new method for fabricating digital objects through reusable silicone molds. Molds are generated by casting liquid silicone into custom 3D printed containers called metamolds. Metamolds automatically define the cuts that are needed to extract the cast object from the silicone mold. The shape of metamolds is designed through a novel segmentation technique, which takes into account both geometric and topological constraints involved in the process of mold casting. Our technique is simple, does not require to change the shape or topology of the input objects, and only requires off-the-shelf materials and technologies. We successfully tested our method on a set of challenging examples with complex shapes and rich geometric detail.Source: ISTI Technical reports, 2018
Project(s): EMOTIVE
Alderighi T., Malomo L., Giorgi D., Pietroni N., Bickel B., Cignoni P.
We propose a new method for fabricating digital objects through reusable silicone molds. Molds are generated by casting liquid silicone into custom 3D printed containers called metamolds. Metamolds automatically define the cuts that are needed to extract the cast object from the silicone mold. The shape of metamolds is designed through a novel segmentation technique, which takes into account both geometric and topological constraints involved in the process of mold casting. Our technique is simple, does not require to change the shape or topology of the input objects, and only requires off-the-shelf materials and technologies. We successfully tested our method on a set of challenging examples with complex shapes and rich geometric detail.Source: ISTI Technical reports, 2018
Project(s): EMOTIVE
See at: CNR ExploRA
2018
Journal article
Open Access
Metamolds: computational design of silicone molds
Alderighi T., Malomo L., Giorgi D., Pietroni N., Bickel B., Cignoni P.
We propose a new method for fabricating digital objects through reusable silicone molds. Molds are generated by casting liquid silicone into custom 3D printed containers called metamolds. Metamolds automatically define the cuts that are needed to extract the cast object from the silicone mold. The shape of metamolds is designed through a novel segmentation technique, which takes into account both geometric and topological constraints involved in the process of mold casting. Our technique is simple, does not require changing the shape or topology of the input objects, and only requires off-the-shelf materials and technologies. We successfully tested our method on a set of challenging examples with complex shapes and rich geometric detailSource: ACM transactions on graphics 37 (2018): 136:1–136:13. doi:10.1145/3197517.3201381
DOI: 10.1145/3197517.3201381
Project(s): EMOTIVE
Metrics:
Alderighi T., Malomo L., Giorgi D., Pietroni N., Bickel B., Cignoni P.
We propose a new method for fabricating digital objects through reusable silicone molds. Molds are generated by casting liquid silicone into custom 3D printed containers called metamolds. Metamolds automatically define the cuts that are needed to extract the cast object from the silicone mold. The shape of metamolds is designed through a novel segmentation technique, which takes into account both geometric and topological constraints involved in the process of mold casting. Our technique is simple, does not require changing the shape or topology of the input objects, and only requires off-the-shelf materials and technologies. We successfully tested our method on a set of challenging examples with complex shapes and rich geometric detailSource: ACM transactions on graphics 37 (2018): 136:1–136:13. doi:10.1145/3197517.3201381
DOI: 10.1145/3197517.3201381
Project(s): EMOTIVE
Metrics:
See at:
ISTI Repository | IST PubRep | dl.acm.org | ACM Transactions on Graphics | CNR ExploRA
2018
Journal article
Open Access
FlexMaps: computational design of flat flexible shells for shaping 3D objects
Malomo L., Pérez J., Iarussi E., Pietroni N., Miguel E., Cignoni P., Bickel B.
We propose FlexMaps, a novel framework for fabricating smooth shapes out of flat, flexible panels with tailored mechanical properties. We start by mapping the 3D surface onto a 2D domain as in traditional UV mapping to design a set of deformable flat panels called FlexMaps. For these panels, we design and obtain specific mechanical properties such that, once they are assembled, the static equilibrium configuration matches the desired 3D shape. FlexMaps can be fabricated from an almost rigid material, such as wood or plastic, and are made flexible in a controlled way by using computationally designed spiraling microstructures.Source: ACM transactions on graphics 37 (2018). doi:10.1145/3272127.3275076
DOI: 10.1145/3272127.3275076
Project(s): EMOTIVE, MATERIALIZABLE , SoMa
Metrics:
Malomo L., Pérez J., Iarussi E., Pietroni N., Miguel E., Cignoni P., Bickel B.
We propose FlexMaps, a novel framework for fabricating smooth shapes out of flat, flexible panels with tailored mechanical properties. We start by mapping the 3D surface onto a 2D domain as in traditional UV mapping to design a set of deformable flat panels called FlexMaps. For these panels, we design and obtain specific mechanical properties such that, once they are assembled, the static equilibrium configuration matches the desired 3D shape. FlexMaps can be fabricated from an almost rigid material, such as wood or plastic, and are made flexible in a controlled way by using computationally designed spiraling microstructures.Source: ACM transactions on graphics 37 (2018). doi:10.1145/3272127.3275076
DOI: 10.1145/3272127.3275076
Project(s): EMOTIVE
, MATERIALIZABLE , SoMa Metrics:
See at:
ISTI Repository | IST PubRep | dl.acm.org | ACM Transactions on Graphics | CNR ExploRA
2018
Conference article
Open Access
Reconstructing power lines from images
Ganovelli F., Malomo L., Scopigno R.
We present a method for reconstructing overhead power lines from images. The solution to this problem has a deep impact over the strategies adopted to monitor the many thousand of kilometers of power lines where nowadays the only effective solution requires a high-end laser scanner. The difficulty with image based algorithms is that images of wires of the power lines typically do not have point features to match among different images. We use a Structure from Motion algorithm to retrieve the approximate camera poses and then formulate a minimization problem aimed to refine the camera poses so that the image of the wires project consistently on a 3D hypothesis.Source: IVCNZ 2018 - International Conference on Image and Vision Computing New Zealand, Auckland, New Zealand, 19-21 November 2018
DOI: 10.1109/ivcnz.2018.8634765
Metrics:
Ganovelli F., Malomo L., Scopigno R.
We present a method for reconstructing overhead power lines from images. The solution to this problem has a deep impact over the strategies adopted to monitor the many thousand of kilometers of power lines where nowadays the only effective solution requires a high-end laser scanner. The difficulty with image based algorithms is that images of wires of the power lines typically do not have point features to match among different images. We use a Structure from Motion algorithm to retrieve the approximate camera poses and then formulate a minimization problem aimed to refine the camera poses so that the image of the wires project consistently on a 3D hypothesis.Source: IVCNZ 2018 - International Conference on Image and Vision Computing New Zealand, Auckland, New Zealand, 19-21 November 2018
DOI: 10.1109/ivcnz.2018.8634765
Metrics:
See at:
ISTI Repository | doi.org | ieeexplore.ieee.org | CNR ExploRA
2018
Conference article
Open Access
The EMOTIVE Project - Emotive virtual cultural experiences through personalized storytelling
Katifori A., Roussou M., Perry S., Cignoni P., Malomo L., Palma G., Dretakis G., Vizcay S.
This work presents an overview of the EU-funded project EMOTIVE (Emotive virtual cultural experiences through personalized storytelling). EMOTIVE works from the premise that cultural sites are, in fact, highly emo- tional places, seedbeds not just of knowledge, but of emotional resonance and human connection. From 2016-2019, the EMOTIVE consortium will research, design, develop and evaluate methods and tools that can support the cultural and creative industries in creating narratives and experiences which draw on the power of 'emotive storytelling', both on site and virtually. This work focuses on the project objectives and results so far and presents identified challenges.Source: CI 2018 - Workshop on Cultural Informatics, co-located with the International Conference on Digital Heritage 2018 (EuroMed 2018), pp. 11–20, Nicosia, Cyprus, November 3, 2018
Project(s): EMOTIVE
Katifori A., Roussou M., Perry S., Cignoni P., Malomo L., Palma G., Dretakis G., Vizcay S.
This work presents an overview of the EU-funded project EMOTIVE (Emotive virtual cultural experiences through personalized storytelling). EMOTIVE works from the premise that cultural sites are, in fact, highly emo- tional places, seedbeds not just of knowledge, but of emotional resonance and human connection. From 2016-2019, the EMOTIVE consortium will research, design, develop and evaluate methods and tools that can support the cultural and creative industries in creating narratives and experiences which draw on the power of 'emotive storytelling', both on site and virtually. This work focuses on the project objectives and results so far and presents identified challenges.Source: CI 2018 - Workshop on Cultural Informatics, co-located with the International Conference on Digital Heritage 2018 (EuroMed 2018), pp. 11–20, Nicosia, Cyprus, November 3, 2018
Project(s): EMOTIVE
See at:
ceur-ws.org | ISTI Repository | CNR ExploRA
2019
Conference article
Open Access
State of the art on stylized fabrication
Pietroni N., Bickel B., Malomo L., Cignoni P.
Digital fabrication devices are powerful tools for creating tangible reproductions of 3D digital models. Most available printing technologies aim at producing an accurate copy of a tridimensional shape. However, fabrication technologies can also be used to create a stylistic representation of a digital shape. We refer to this class of methods as stylized fabrication methods. These methods abstract geometric and physical features of a given shape to create an unconventional representation, to produce an optical illusion, or to devise a particular interaction with the fabricated model. In this course, we classify and overview this broad and emerging class of approaches and also propose possible directions for future research.Source: SIGGRAPH Asia 2019, Brisbane, Queensland, Australia, 17-20/11/2019
DOI: 10.1145/3355047.3359411
Project(s): EMOTIVE, MATERIALIZABLE
Metrics:
Pietroni N., Bickel B., Malomo L., Cignoni P.
Digital fabrication devices are powerful tools for creating tangible reproductions of 3D digital models. Most available printing technologies aim at producing an accurate copy of a tridimensional shape. However, fabrication technologies can also be used to create a stylistic representation of a digital shape. We refer to this class of methods as stylized fabrication methods. These methods abstract geometric and physical features of a given shape to create an unconventional representation, to produce an optical illusion, or to devise a particular interaction with the fabricated model. In this course, we classify and overview this broad and emerging class of approaches and also propose possible directions for future research.Source: SIGGRAPH Asia 2019, Brisbane, Queensland, Australia, 17-20/11/2019
DOI: 10.1145/3355047.3359411
Project(s): EMOTIVE
, MATERIALIZABLE Metrics:
See at:
ISTI Repository | opus.lib.uts.edu.au | IST PubRep | dl.acm.org | Computer Graphics Forum | doi.org | CNR ExploRA
2019
Contribution to conference
Open Access
Computational fabrication of macromolecules to enhance perception and understanding of biological mechanisms
Alderighi T., Giorgi D., Malomo L., Cignoni P., Zoppè M.
We propose a fabrication technique for the fast and cheap production of 3D replicas of proteins. We leverage silicone casting with rigid molds, to produce flexible models which can be safely extracted from the mold, and easily manipulated to simulate the biological interaction mechanisms between proteins. We believe that tangible models can be useful in education as well as in laboratory settings, and that they will ease the understanding of fundamental principles of macromolecular organization.Source: Smart Tools and Applications in Graphics (STAG) 2019, pp. 103–104, Cagliari, Italy, 14-15/11/2019
DOI: 10.2312/stag.20191369
Metrics:
Alderighi T., Giorgi D., Malomo L., Cignoni P., Zoppè M.
We propose a fabrication technique for the fast and cheap production of 3D replicas of proteins. We leverage silicone casting with rigid molds, to produce flexible models which can be safely extracted from the mold, and easily manipulated to simulate the biological interaction mechanisms between proteins. We believe that tangible models can be useful in education as well as in laboratory settings, and that they will ease the understanding of fundamental principles of macromolecular organization.Source: Smart Tools and Applications in Graphics (STAG) 2019, pp. 103–104, Cagliari, Italy, 14-15/11/2019
DOI: 10.2312/stag.20191369
Metrics:
See at:
diglib.eg.org | ISTI Repository | CNR ExploRA
2021
Journal article
Open Access
Volume decomposition for two-piece rigid casting
Alderighi T., Malomo L., Bickel B., Cignoni P., Pietroni N.
We introduce a novel technique to automatically decompose an input object's volume into a set of parts that can be represented by two opposite height fields. Such decomposition enables the manufacturing of individual parts using two-piece reusable rigid molds. Our decomposition strategy relies on a new energy formulation that utilizes a pre-computed signal on the mesh volume representing the accessibility for a predefined set of extraction directions. Thanks to this novel formulation, our method allows for efficient optimization of a fabrication-aware partitioning of volumes in a completely automatic way. We demonstrate the efficacy of our approach by generating valid volume partitionings for a wide range of complex objects and physically reproducing several of them.Source: ACM transactions on graphics 40 (2021). doi:10.1145/3478513.3480555
DOI: 10.1145/3478513.3480555
Project(s): MATERIALIZABLE
Metrics:
Alderighi T., Malomo L., Bickel B., Cignoni P., Pietroni N.
We introduce a novel technique to automatically decompose an input object's volume into a set of parts that can be represented by two opposite height fields. Such decomposition enables the manufacturing of individual parts using two-piece reusable rigid molds. Our decomposition strategy relies on a new energy formulation that utilizes a pre-computed signal on the mesh volume representing the accessibility for a predefined set of extraction directions. Thanks to this novel formulation, our method allows for efficient optimization of a fabrication-aware partitioning of volumes in a completely automatic way. We demonstrate the efficacy of our approach by generating valid volume partitionings for a wide range of complex objects and physically reproducing several of them.Source: ACM transactions on graphics 40 (2021). doi:10.1145/3478513.3480555
DOI: 10.1145/3478513.3480555
Project(s): MATERIALIZABLE
Metrics:
See at:
ISTI Repository | dl.acm.org | CNR ExploRA
2023
Conference article
Open Access
A geometry-preserving shape optimization tool based on deep learning
Favilli A., Laccone F., Cignoni P., Malomo L., Giorgi D.
In free-form architecture, computational design tools have made it easy to create geometric models. However, obtaining good structural performance is difficult and requires further steps, such as shape optimization, to enhance system efficiency and material savings. This paper provides a user interface for form-finding and shape optimization of triangular grid shells. Users can minimize structural compliance, while ensuring small changes in their original design. A graph neural network learns to update the nodal coordinates of the grid shell to reduce a loss function based on strain energy. The interface can manage complex shapes and irregular tessellations. A variety of examples prove the effectiveness of the tool.Source: IWSS 2023 - Italian Workshop on Shell and Spatial Structures, pp. 549–558, Torino, Italy, 26-28/06/2023
DOI: 10.1007/978-3-031-44328-2_57
Metrics:
Favilli A., Laccone F., Cignoni P., Malomo L., Giorgi D.
In free-form architecture, computational design tools have made it easy to create geometric models. However, obtaining good structural performance is difficult and requires further steps, such as shape optimization, to enhance system efficiency and material savings. This paper provides a user interface for form-finding and shape optimization of triangular grid shells. Users can minimize structural compliance, while ensuring small changes in their original design. A graph neural network learns to update the nodal coordinates of the grid shell to reduce a loss function based on strain energy. The interface can manage complex shapes and irregular tessellations. A variety of examples prove the effectiveness of the tool.Source: IWSS 2023 - Italian Workshop on Shell and Spatial Structures, pp. 549–558, Torino, Italy, 26-28/06/2023
DOI: 10.1007/978-3-031-44328-2_57
Metrics:
See at:
link.springer.com | CNR ExploRA
2014
Report
Unknown
Generalized trackball for surfing over surfaces
Malomo L., Cignoni P., Scopigno R.
We present a friendly, efficient 3D interaction technique that, generalizing the well known trackball approach, unifies and blends the two common interaction mechanisms known as panning and orbiting. The approach allows to inspect a virtual object by navigating over its surrounding space, remaining at a chosen distance and performing a sort of automatic panning over its surface. This generalized trackball allows an intuitive navigation of topologically complex shapes, by enabling unexperienced users to visit hard-to-be-reached parts better and faster than with standard GUI components. The approach is based on the construction of multiple smooth approximations of the model under inspection and, at rendering time, it constrains the camera to stay at a given distance to these approximations. The approach is designed to require negligible preprocessing and memory overhead and works well for both mouse-based and touch interfaces. A user study confirms the impact of the proposed technique.Source: ISTI Technical reports, 2014
Project(s): HARVEST4D
Malomo L., Cignoni P., Scopigno R.
We present a friendly, efficient 3D interaction technique that, generalizing the well known trackball approach, unifies and blends the two common interaction mechanisms known as panning and orbiting. The approach allows to inspect a virtual object by navigating over its surrounding space, remaining at a chosen distance and performing a sort of automatic panning over its surface. This generalized trackball allows an intuitive navigation of topologically complex shapes, by enabling unexperienced users to visit hard-to-be-reached parts better and faster than with standard GUI components. The approach is based on the construction of multiple smooth approximations of the model under inspection and, at rendering time, it constrains the camera to stay at a given distance to these approximations. The approach is designed to require negligible preprocessing and memory overhead and works well for both mouse-based and touch interfaces. A user study confirms the impact of the proposed technique.Source: ISTI Technical reports, 2014
Project(s): HARVEST4D
See at: CNR ExploRA
2014
Contribution to book
Restricted
Web and mobile visualization for cultural heritage
Di Benedetto M., Ponchio F., Malomo L., Callieri M., Dellepiane M., Cignoni P., Scopigno R.
Thanks to the impressive research results produced in the last decade, digital technologies are now mature for producing high-quality digital replicas of Cultural Heritage (CH) artifacts. At the same time, CH practitioners and scholars have also access to a number of technologies that allow distributing and presenting those models to everybody and everywhere by means of a number of communication platforms. The goal of this chapter is to present some recent technologies for supporting the visualization of complex models, by focusing on the requirements of interactive manipulation and visualization of 3D models on the web and on mobile platforms. The section will present some recent experiences where high-quality 3D models have been used in CH research, restoration and conservation. Some open issues in this domain will also be presented and discussed.Source: 3D Research Challenges in Cultural Heritage. A Roadmap in Digital Heritage Preservation, edited by Marinos Ioannides, Ewald Quak, pp. 18–35. Berlin: Springer, 2014
DOI: 10.1007/978-3-662-44630-0_2
Project(s): ARIADNE
Metrics:
Di Benedetto M., Ponchio F., Malomo L., Callieri M., Dellepiane M., Cignoni P., Scopigno R.
Thanks to the impressive research results produced in the last decade, digital technologies are now mature for producing high-quality digital replicas of Cultural Heritage (CH) artifacts. At the same time, CH practitioners and scholars have also access to a number of technologies that allow distributing and presenting those models to everybody and everywhere by means of a number of communication platforms. The goal of this chapter is to present some recent technologies for supporting the visualization of complex models, by focusing on the requirements of interactive manipulation and visualization of 3D models on the web and on mobile platforms. The section will present some recent experiences where high-quality 3D models have been used in CH research, restoration and conservation. Some open issues in this domain will also be presented and discussed.Source: 3D Research Challenges in Cultural Heritage. A Roadmap in Digital Heritage Preservation, edited by Marinos Ioannides, Ewald Quak, pp. 18–35. Berlin: Springer, 2014
DOI: 10.1007/978-3-662-44630-0_2
Project(s): ARIADNE
Metrics:
See at:
doi.org | link.springer.com | CNR ExploRA