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» Building Shape Models from Lousy Data
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159
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PR
2007
216views more  PR 2007»
15 years 3 months ago
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
Hee-Deok Yang, Seong-Whan Lee
133
Voted
CVPR
2000
IEEE
16 years 5 months ago
3-D Model Construction Using Range and Image Data
This paper deals with the automated creation of geometric and photometric correct 3-D models of the world. Those models can be used for virtual reality, tele? presence, digital ci...
Ioannis Stamos, Peter K. Allen
146
Voted
MICCAI
2009
Springer
15 years 10 months ago
On the Manifold Structure of the Space of Brain Images
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
111
Voted
ISSRE
2007
IEEE
15 years 5 months ago
Fault Prediction using Early Lifecycle Data
The prediction of fault-prone modules in a software project has been the topic of many studies. In this paper, we investigate whether metrics available early in the development li...
Yue Jiang, Bojan Cukic, Tim Menzies
160
Voted
ECCV
2004
Springer
16 years 5 months ago
Line Geometry for 3D Shape Understanding and Reconstruction
We understand and reconstruct special surfaces from 3D data with line geometry methods. Based on estimated surface normals we use approximation techniques in line space to recogniz...
Helmut Pottmann, Michael Hofer, Boris Odehnal, Joh...