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» Variational Constraints in 3D
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TSP
2008
178views more  TSP 2008»
15 years 4 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
15 years 4 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
15 years 2 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
14 years 8 months 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
14 years 8 months 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...