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» Recovering 3D Human Pose from Monocular Images
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SIGGRAPH
2010
ACM
15 years 2 months ago
Parametric reshaping of human bodies in images
We present an easy-to-use image retouching technique for realistic reshaping of human bodies in a single image. A model-based approach is taken by integrating a 3D whole-body morp...
Shizhe Zhou, Hongbo Fu, Ligang Liu, Daniel Cohen-O...
IJCV
2006
171views more  IJCV 2006»
14 years 9 months ago
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation
We develop a method for the estimation of articulated pose, such as that of the human body or the human hand, from a single (monocular) image. Pose estimation is formulated as a s...
Rómer Rosales, Stan Sclaroff
CVPR
2011
IEEE
14 years 5 months ago
Semantic structure from motion
Conventional rigid structure from motion (SFM) addresses the problem of recovering the camera parameters (motion) and the 3D locations (structure) of scene points, given observed ...
Sid Ying-Ze Bao, Silvio Savarese
ECCV
2002
Springer
15 years 11 months ago
Estimating Human Body Configurations Using Shape Context Matching
The problem we consider in this paper is to take a single two-dimensional image containing a human body, locate the joint positions, and use these to estimate the body configurati...
Greg Mori, Jitendra Malik
ECCV
2004
Springer
15 years 11 months ago
Shape and View Independent Reflectance Map from Multiple Views
We consider the problem of estimating the 3D shape and reflectance properties of an object made of a single material from a calibrated set of multiple views. To model reflectance, ...
Tianli Yu, Ning Xu, Narendra Ahuja