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MVA
2002
186views Computer Vision» more  MVA 2002»
15 years 6 months ago
Identifying Body Parts of Multiple People in Multi-Camera Images
In order to track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera. We propose a...
Masafumi Tominaga, Hitoshi Hongo, Hiroyasu Koshimi...
CVPR
2003
IEEE
16 years 8 months ago
Multi-modal image registration by minimizing Kullback-Leibler distance between expected and observed joint class histograms
In this paper, we present a new multimodal image registration method based on the a priori knowledge of the class label mappings between two segmented input images. A joint class ...
Ho-Ming Chan, Albert C. S. Chung, Simon C. H. Yu, ...
CVPR
2007
IEEE
16 years 8 months ago
Detailed Human Shape and Pose from Images
Much of the research on video-based human motion capture assumes the body shape is known a priori and is represented coarsely (e.g. using cylinders or superquadrics to model limbs...
Alexandru O. Balan, Leonid Sigal, Michael J. Black...
ICPR
2006
IEEE
16 years 8 months ago
Face Recognition Robust to Head Pose from One Sample Image
Most face recognition systems only work well under quite constrained environments. In particular, the illumination conditions, facial expressions and head pose must be tightly con...
Brian C. Lovell, Shaokang Chen, Ting Shan
C3S2E
2009
ACM
16 years 1 months ago
CPU, SMP and GPU implementations of Nohalo level 1, a fast co-convex antialiasing image resampler
This article introduces Nohalo level 1 (“Nohalo”), the simplest member of a family of image resamplers which straighten diagonal interfaces without adding noticeable nonlinear...
Nicolas Robidoux, Minglun Gong, John Cupitt, Adam ...