We describe a new hierarchical representation for twodimensional objects that captures shape information at multiple levels of resolution. This representation is based on a hierar...
This paper describes a method for finding wide-baseline correspondences between images at locations along gradient edges. We find edges in scale space using established methods an...
We address recognition and localization of human actions in realistic scenarios. In contrast to the previous work studying human actions in controlled settings, here we train and ...
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
Abstract. Matching of rigid shapes is an important problem in numerous applications across the boundary of computer vision, pattern recognition and computer graphics communities. A...