97 search results - page 6 / 20 » Pruning Local Feature Correspondences Using Shape Context |
ACCV
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. Despite the ubiquitous use of range images in various computer vision applications, little has been investigated about the size variation of the local geometric structure...
AAAI
1990
13 years 8 months ago
1990
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
A Bayesian network formulation for relational shape matching is presented. The main advantage of the relational shape matching approach is the obviation of the non-rigid spatial m...