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» Analysis on a Local Approach to 3D Object Recognition
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ICCV
1995
IEEE
13 years 11 months ago
Model-Based Tracking of Self-Occluding Articulated Objects
Computer sensing of hand and limb motion is an important problem for applications in humancomputer interaction and computer graphics. We describe a framework for local tracking of...
James M. Rehg, Takeo Kanade
CVPR
2005
IEEE
14 years 9 months ago
Pose-Robust Face Recognition Using Geometry Assisted Probabilistic Modeling
Researchers have been working on human face recognition for decades. Face recognition is hard due to different types of variations in face images, such as pose, illumination and e...
Xiaoming Liu 0002, Tsuhan Chen
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
ICIP
1997
IEEE
14 years 9 months ago
Model Based Extraction of Articulated Objects in Image Sequences for Gait Analysis
This paper describes an approach to the extraction of articulated objects which will be used for gait analysis. In most medical applications markers are used to determine trajecto...
Dorthe Meyer, Joachim Denzler, Heinrich Niemann
SMI
2006
IEEE
183views Image Analysis» more  SMI 2006»
14 years 1 months ago
The Generalized Shape Distributions for Shape Matching and Analysis
This paper presents a novel 3D shape descriptor "The Generalized Shape Distributions" for effective shape matching and analysis, by taking advantage of both local and gl...
Yi Liu, Hongbin Zha, Hong Qin