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ECCV
1994
Springer
13 years 11 months ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li
MVA
2007
174views Computer Vision» more  MVA 2007»
13 years 9 months ago
A Real-Time Hand Gesture Interface Implemented on a Multi-Core Processor
This paper describes a real-time hand gesture recognition system and its application to VCR remote control. Cascaded classifiers are used to detect a number of different hand pose...
Tsukasa Ike, Nobuhisa Kishikawa, Björn Stenge...
CVPR
2008
IEEE
13 years 9 months ago
Classification via semi-Riemannian spaces
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
DAGSTUHL
2000
13 years 9 months ago
Vision and Touch for Grasping
This paper introduces our one-armed stationary humanoid robot GripSee together with research projects carried out on this platform. The major goal is to have it analyze a table sce...
Rolf P. Würtz
ECCV
2006
Springer
13 years 11 months ago
Trace Quotient Problems Revisited
The formulation of trace quotient is shared by many computer vision problems; however, it was conventionally approximated by an essentially different formulation of quotient trace,...
Shuicheng Yan, Xiaoou Tang