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» Computational methods for understanding 3D shapes
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CVPR
2004
IEEE
14 years 11 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
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 pr...
Ankur Agarwal, Bill Triggs
MVA
1990
139views Computer Vision» more  MVA 1990»
13 years 10 months ago
Generation of 3-D Models Based on Image Fusion of Range Data
This paper presents a method for measuringthe entire three dimensional (3D) shape of object, which is applicable for 3D digitizing into a solid modeling CAD. The method measures t...
Yasuo Sakaguchi, Hirokazu Kato, Kosuke Sato, Seiji...
CGI
2001
IEEE
14 years 19 days ago
A Hybrid Approach to the Recovery of Deformable Superquadric Models from 3D Data
The problem of recovering the shape of objects from three-dimensional data is important to many areas of computer graphics and vision. We present here a method for the recovery of...
James Sinnott, Toby Howard
ACCV
2010
Springer
13 years 4 months ago
Towards Full 3D Helmholtz Stereovision Algorithms
Helmholtz stereovision methods are limited to binocular stereovision or depth maps reconstruction. In this paper, we extend these methods to recover the full 3D shape of the object...
Amaël Delaunoy, Emmanuel Prados, Peter N. Bel...
3DPVT
2006
IEEE
216views Visualization» more  3DPVT 2006»
14 years 3 months ago
Anatomically-Aware, Automatic, and Fast Registration of 3D Ear Impression Models
We present a registration framework based on feature points of anatomical 3D shapes represented in the point cloud domain. Anatomical information is utilized throughout the comple...
Alexander Zouhar, Tong Fang, Gozde B. Unal, Gregor...