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» Generic Initialization for Motion Capture from 3D Shape
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ECCV
2004
Springer
14 years 8 months ago
Automatic Non-rigid 3D Modeling from Video
We present a robust framework for estimating non-rigid 3D shape and motion in video sequences. Given an input video sequence, and a user-specified region to reconstruct, the algori...
Lorenzo Torresani, Aaron Hertzmann
MICCAI
2009
Springer
13 years 11 months ago
A Dynamical Shape Prior for LV Segmentation from RT3D Echocardiography
Real-time three-dimensional (RT3D) echocardiography is the newest generation of three-dimensional (3-D) echocardiography. Segmentation of RT3D echocardiographic images is essential...
Yun Zhu, Xenophon Papademetris, Albert J. Sinusas,...
CVPR
2009
IEEE
15 years 1 months ago
Dense 3D Motion Capture for Human Faces
This paper proposes a novel approach to motion capture from multiple, synchronized video streams, specifically aimed at recording dense and accurate models of the structure and ...
Yasutaka Furukawa (University of Washington), Jean...
CVPR
2003
IEEE
14 years 8 months ago
Visual Hull Alignment and Refinement Across Time: A 3D Reconstruction Algorithm Combining Shape-From-Silhouette with Stereo
Visual Hull (VH) construction from silhouette images is a popular method of shape estimation. The method, also known as Shape-From-Silhouette (SFS), is used in many applications s...
German K. M. Cheung, Simon Baker, Takeo Kanade
3DPVT
2006
IEEE
259views Visualization» more  3DPVT 2006»
14 years 14 days ago
3D Skeleton-Based Body Pose Recovery
This paper presents an approach to recover body motions from multiple views using a 3D skeletal model. It takes, as input, foreground silhouette sequences from multiple viewpoints...
Clément Ménier, Edmond Boyer, Bruno ...