Non-rigid shape matching is one of the most challenging fields in content-based 3D object retrieval. The aim of the SHREC 2010 - Shape Retrieval Contest of Non-rigid 3D Models is ...
Zhouhui Lian, Afzal Godil, Thomas Fabry, Takahiko ...
This paper presents an approach to matching parts of deformable shapes. Multiscale salient parts of the two shapes are first identified. Then, these parts are matched if their im...
Abstract. We introduce a shape detection framework called Contour Context Selection for detecting objects in cluttered images using only one exemplar. Shape based detection is inva...
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
In this paper, we present a non-rigid quasi-dense matching method and its application to object recognition and segmentation. The matching method is based on the match propagation...