Sparse BRDF Approximation using Compressive Sensing - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Poster Communications Year :

Sparse BRDF Approximation using Compressive Sensing


We experiment a BRDF acquisiton method from a single picture, knowing geometry and illumination. To tackle such a severely underconstrained problem, we express the BRDF in a high dimensional basis, and perform the reconstruction using compressive sensing, looking for the most sparse solution to the linear problem of fitting the measurement image.
Nous expérimentons une méthode d'acquisition de BRDF à partir d'une image. Nous exprimons la BRDF dans une base de grande dimension et reconstruisons la brdf à l'aide du compressive sensing.
Fichier principal
Vignette du fichier
poster.pdf (255.58 Ko) Télécharger le fichier
posterfinal.pdf (6.8 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Format : Other

Dates and versions

hal-00878049 , version 1 (29-10-2013)


  • HAL Id : hal-00878049 , version 1


Benoît Zupancic, Cyril Soler. Sparse BRDF Approximation using Compressive Sensing. 6th Siggraph Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia, Nov 2013, Hong-Kong, Hong Kong SAR China. ⟨hal-00878049⟩
551 View
783 Download


Gmail Facebook Twitter LinkedIn More