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Modeling illumination effects and pose variations of a face is of fundamental importance in the field of facial image analysis. Most of the conventional techniques that simultaneously address both of these problems work with the Lambertian assumption and thus fall short of accurately capturing the complex intensity variation that the facial images exhibit or recovering their 3D shape in the presence...
In this paper we address the problem of relighting faces in presence of cast shadows and specularities. We present a solution to this problem by capturing the spatially varying Apparent Bidirectional Reflectance Functions (ABRDF) fields of human faces using Spline Modulated Spherical Harmonics and representing them using a few salient spherical functions called Eigenbubbles. Through extensive experiments...
In this paper, we propose a novel algorithm for computing an atlas from a collection of images. In the literature, atlases have almost always been computed as some types of means such as the straightforward Euclidean means or the more general Karcher means on Riemannian manifolds. In the context of images, the paper's main contribution is a geometric framework for computing image atlases through a...
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