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» Statistical body height estimation from a single image
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AVSS
2006
IEEE
14 years 1 months ago
3D Human Motion Analysis in Monocular Video Techniques and Challenges
Extracting meaningful 3D human motion information from video sequences is of interest for applications like intelligent humancomputer interfaces, biometrics, video browsing and ind...
Cristian Sminchisescu
CVPR
2009
IEEE
3248views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Single Image Haze Removal Using Dark Channel Prior
In this paper, we propose a simple but effective image prior - dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of the...
Kaiming He (The Chinese University of Hong Kong), ...
ICIP
2004
IEEE
14 years 9 months ago
Markerless motion capture with single and multiple cameras
The aim of Optical Motion Capture is to sequentially estimate the true state X of the subject (generally an articulated body) at any time instant tk from a set of data Dk, capture...
Paris Kaimakis, Joan Lasenby
PAMI
2006
358views more  PAMI 2006»
13 years 7 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs
PAMI
2006
188views more  PAMI 2006»
13 years 7 months ago
Recovering 3D Human Body Configurations Using Shape Contexts
The problem we consider in this paper is to take a single two-dimensional image containing a human figure, locate the joint positions, and use these to estimate the body configura...
Greg Mori, Jitendra Malik