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» Robust Algorithms for Object Localization
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CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
14 years 1 months ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman
ICRA
2010
IEEE
227views Robotics» more  ICRA 2010»
13 years 6 months ago
Efficient multi-view object recognition and full pose estimation
We present an approach for efficiently recognizing all objects in a scene and estimating their full pose from multiple views. Our approach builds upon a state of the art single-vie...
Alvaro Collet, Siddhartha S. Srinivasa
MM
2010
ACM
462views Multimedia» more  MM 2010»
13 years 8 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...
ICPR
2008
IEEE
14 years 9 months ago
Object localization using affine invariant substructure constraints
In this paper we propose a novel method for generic object localization. The method is based on modeling the object as a graph at two levels: a local substructural representation ...
Ahmed M. Elgammal, Ishani Chakraborty
INFOCOM
2008
IEEE
14 years 3 months ago
Towards a Theory of Robust Localization Against Malicious Beacon Nodes
—Localization in the presence of malicious beacon nodes is an important problem in wireless networks. Although significant progress has been made on this problem, some fundament...
Sheng Zhong, Murtuza Jadliwala, Shambhu J. Upadhya...