This paper proposes a new affine registration algorithm
for matching two point sets in IR2 or IR3. The input point
sets are represented as probability density functions, using
e...
Jeffrey Ho, Adrian Peter, Anand Rangarajan, Ming-H...
This paper presents an automatic efficient method to fit a statistical deformation model of the human face to 3D scan data. In a global to local fitting scheme, the shape parameter...
Abstract. Understanding texture regularity in real images is a challenging computer vision task. We propose a higher-order feature matching algorithm to discover the lattices of ne...
James Hays, Marius Leordeanu, Alexei A. Efros, Yan...
Image registration is a very active research area in computer vision, namely it is used to find a transformation between two images taken under different conditions. Point matchi...
Many visual search and matching systems represent images using sparse sets of "visual words": descriptors that have been quantized by assignment to the best-matching symb...