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» Variational Constraints in 3D
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TSP
2008
178views more  TSP 2008»
13 years 9 months ago
Heteroscedastic Low-Rank Matrix Approximation by the Wiberg Algorithm
Abstract--Low-rank matrix approximation has applications in many fields, such as 2D filter design and 3D reconstruction from an image sequence. In this paper, one issue with low-ra...
Pei Chen
CG
2000
Springer
13 years 9 months ago
Procedural shape generation for multi-dimensional data visualization
Visualization of multi-dimensional data is a challenging task. The goal is not the display of multiple data dimensions, but user comprehension of the multi-dimensional data. This p...
David S. Ebert, Randall M. Rohrer, Christopher D. ...
ECCV
2010
Springer
13 years 7 months ago
Articulation-Invariant Representation of Non-planar Shapes
Given a set of points corresponding to a 2D projection of a non-planar shape, we would like to obtain a representation invariant to articulations (under no self-occlusions). It is ...
Raghuraman Gopalan, Pavan K. Turaga, Rama Chellapp...
CVPR
2011
IEEE
13 years 25 days ago
Topology-adaptive Multi-view Photometric Stereo
In this paper, we present a novel technique that enables capturing of detailed 3D models from flash photographs integrating shading and silhouette cues. Our main contribution is ...
Yusuke Yoshiyasu
CVPR
2011
IEEE
13 years 25 days ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...