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» Recovering 3D Human Pose from Monocular Images
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ICCV
2011
IEEE
13 years 9 months ago
A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera
In recent years, depth cameras have become a widely available sensor type that captures depth images at realtime frame rates. Even though recent approaches have shown that 3D pose...
Andreas Baak, Meinard Muller, Gaurav Bharaj, Hans-...
PAMI
2006
221views more  PAMI 2006»
14 years 9 months ago
Face Recognition from a Single Training Image under Arbitrary Unknown Lighting Using Spherical Harmonics
In this paper, we propose two novel methods for face recognition under arbitrary unknown lighting by using spherical harmonics illumination representation, which require only one t...
Lei Zhang 0002, Dimitris Samaras
CVPR
2000
IEEE
15 years 11 months ago
Hierarchical Structure and Nonrigid Motion Recovery from 2D Monocular Views
Inferring both 3D structure and motion of nonrigid objects from monocular images is an important problem in computational vision. The challenges stem not only from the absence of ...
Lin Zhou, Chandra Kambhamettu
CVPR
2006
IEEE
15 years 11 months ago
Multiview Geometry for Texture Mapping 2D Images Onto 3D Range Data
The photorealistic modeling of large-scale scenes, such as urban structures, requires a fusion of range sensing technology and traditional digital photography. This paper presents...
Lingyun Liu, Gene Yu, George Wolberg, Siavash Zoka...
CVPR
2012
IEEE
13 years 2 days ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...