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» Graph-Theoretical Methods in Computer Vision
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ICPR
2006
IEEE
16 years 7 months ago
Robust Eye Detection under Active Infrared Illumination
Eye detection is very important for automatic face recognition and gaze tracking. In this paper we propose an algorithm for eye detection under active infrared (IR) illumination. ...
Shuyan Zhao, Rolf-Rainer Grigat
151
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ICPR
2004
IEEE
16 years 7 months ago
Super-Resolving Compressed Video with Large Artifacts
We propose methods to super-resolve compressed video sequences that may consist of frames with missing blocks of pixels in addition to compression artifacts. Different from tradit...
Wen-Yi Zhao
CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
16 years 2 months ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
ACIVS
2009
Springer
16 years 1 months ago
Attributed Graph Matching Using Local Descriptions
Abstract. In the pattern recognition context, objects can be represented as graphs with attributed nodes and edges involving their relations. Consequently, matching attributed grap...
Salim Jouili, Ines Mili, Salvatore Tabbone
ICPR
2008
IEEE
16 years 27 days ago
Understanding vehicle motion via spatial integration of intensities
On a moving vehicle, speedy motion extraction from video is demanded. Different from the traditional motion estimation methods that track or match 2D features in consecutive motio...
Jiang Yu Zheng, Yasaswy Bhupalam, Hiromi T. Tanaka