93 search results - page 3 / 19 » Learning to Detect Objects of Many Classes Using Binary Clas... |
ICIAP
2003
ACM
13 years 10 months ago
2003
ACM
Object recognition, i. e. classification of objects into one of several known object classes, generally is a difficult task. In this paper we address the problem of detecting an...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
This work is about scene interpretation in the sense of detecting and localizing instances from multiple object classes. We concentrate on object indexing: generate an over-comple...