129 search results - page 3 / 26 » Object Recognition in High Clutter Images Using Line Feature... |
ACCV
2007
Springer
15 years 3 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...
ICCV
1999
IEEE
15 years 11 months ago
1999
IEEE
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
89
Voted
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
PAMI
2006
14 years 9 months ago
2006
This paper explores the power and the limitations of weakly supervised categorization. We present a complete framework that starts with the extraction of various local regions of e...