Sparse BRDF Approximation using Compressive Sensing

International audienceWe 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

Sparse BRDF Approximation using Compressive Sensing

International audienceWe 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