Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
In this paper we propose to transform an image descriptor so that nearest neighbor (NN) search for correspondences becomes the optimal matching strategy under the assumption that ...
A wide range of low level vision problems have been formulated in terms of finding the most probable assignment of a Markov Random Field (or equivalently the lowest energy configu...
Bundle ajustment is used to obtain accurate visual reconstructions by minimizing the reprojection error. The coordinate frame ambiguity, or more generality the gauge freedoms, has...
We consider the problem of image segmentation using active contours through the minimization of an energy criterion involving both region and boundary functionals. These functiona...