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» Invariances in kernel methods: From samples to objects
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CVPR
2004
IEEE
14 years 9 months ago
Computing Depth under Ambient Illumination Using Multi-Shuttered Light
Range imaging has become a critical component of many computer vision applications. The quality of the depth data is of critical importance, but so is the need for speed. Shuttere...
Héctor H. González-Baños, Jam...
CAGD
2006
120views more  CAGD 2006»
13 years 7 months ago
Quality meshing of implicit solvation models of biomolecular structures
This paper describes a comprehensive approach to construct quality meshes for implicit solvation models of biomolecular structures starting from atomic resolution data in the Prot...
Yongjie Zhang, Guoliang Xu, Chandrajit L. Bajaj
CGF
2011
12 years 11 months ago
Contouring Discrete Indicator Functions
We present a method for calculating the boundary of objects from Discrete Indicator Functions that store 2material volume fractions with a high degree of accuracy. Although Marchi...
Josiah Manson, J. Smith, Scott Schaefer
AAAI
2008
13 years 10 months ago
Manifold Integration with Markov Random Walks
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
BMVC
2001
13 years 10 months ago
A Buyer's Guide to Euclidean Elliptical Cylindrical and Conical Surface Fitting
The ability to construct CAD or other object models from edge and range data has a fundamental meaning in building a recognition and positioning system. While the problem of model...
Petko Faber, Robert B. Fisher