243 search results - page 13 / 49 » Learning Boosted Asymmetric Classifiers for Object Detection |
NIPS
2004
13 years 8 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
CVPR
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper proposes a novel approach for multi-view multi-pose object detection using discriminative shapebased exemplars. The key idea underlying this method is motivated by nume...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Viola and Jones [VJ] demonstrate that cascade classification methods can successfully detect objects belonging to a single class, such as faces. Detecting and identifying objects t...