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ICCV
2005
IEEE
14 years 3 months ago
Closely Coupled Object Detection and Segmentation
We propose a closely coupled object detection and segmentation algorithm for enhancing both processes in a cooperative and iterative manner. Figure-ground segmentation reduces the...
Liang Zhao, Larry S. Davis
CVPR
2009
IEEE
15 years 5 months ago
Shape Band: A Deformable Object Detection Approach
In this paper, we focus on the problem of detecting/ matching a query object in a given image. We propose a new algorithm, shape band, which models an object within a bandwidth ...
Xiang Bai (Huazhong University of Science and Tec...
WACV
2005
IEEE
14 years 3 months ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert
CVPR
1999
IEEE
14 years 2 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher
CLOR
2006
14 years 1 months ago
3D Object Modeling and Recognition from Photographs and Image Sequences
This chapter proposes a representation of rigid three-dimensional (3D) objects in terms of local affine-invariant descriptors of their images and the spatial relationships between ...
Fred Rothganger, Svetlana Lazebnik, Cordelia Schmi...