2012
Journal article  Open Access

A statistical method for SVBRDF approximation from video sequences in general lighting conditions

Palma G., Callieri M., Dellepiane M., Scopigno R.

shading  video seqeunces  and texture  SVBRDF  Three-Dimensional Graphics and Realism. Color  Computer Graphics and Computer-Aided Design  3D computer graphics  shadowing 

We present a statistical method for the estimation of the Spatially Varying Bidirectional Reflectance Distribution Function (SVBRDF) of an object with complex geometry, starting from video sequences acquired with fixed but general lighting conditions. The aim of this work is to define a method that simplifies the acquisition phase of the object surface appearance and allows to reconstruct an approximated SVBRDF. The final output is suitable to be used with a 3D model of the object to obtain accurate and photo-realistic renderings. The method is composed by three steps: the approximation of the environment map of the acquisition scene, using the same object as a probe; the estimation of the diffuse color of the object; the estimation of the specular components of the main materials of the object, by using a Phong model. All the steps are based on statistical analysis of the color samples projected by the video sequences on the surface of the object. Although the method presents some limitations, the trade-off between the easiness of acquisition and the obtained results makes it useful for practical applications.

Source: Computer graphics forum (Online) 31 (2012): 1491–1500. doi:10.1111/j.1467-8659.2012.03145.x

Publisher: Blackwell Publishers., Oxford, Regno Unito


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BibTeX entry
@article{oai:it.cnr:prodotti:275252,
	title = {A statistical method for SVBRDF approximation from video sequences in general lighting conditions},
	author = {Palma G. and Callieri M. and Dellepiane M. and Scopigno R.},
	publisher = {Blackwell Publishers., Oxford, Regno Unito},
	doi = {10.1111/j.1467-8659.2012.03145.x},
	journal = {Computer graphics forum (Online)},
	volume = {31},
	pages = {1491–1500},
	year = {2012}
}

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