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» A Geometric Functional for Derivatives Approximation
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PAMI
2007
214views more  PAMI 2007»
13 years 8 months ago
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours
—Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or part...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
MOC
1998
111views more  MOC 1998»
13 years 8 months ago
The approximation power of moving least-squares
A general method for near-best approximations to functionals on Rd, using scattered-data information is discussed. The method is actually the moving least-squares method, presented...
David Levin
DAM
2008
102views more  DAM 2008»
13 years 8 months ago
Formulas for approximating pseudo-Boolean random variables
We consider {0, 1}n as a sample space with a probability measure on it, thus making pseudo-Boolean functions into random variables. We then derive explicit formulas for approximat...
Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. ...
ICCV
2005
IEEE
14 years 10 months ago
Quasiconvex Optimization for Robust Geometric Reconstruction
Geometric reconstruction problems in computer vision are often solved by minimizing a cost function that combines the reprojection errors in the 2D images. In this paper, we show t...
Qifa Ke, Takeo Kanade
BIBM
2007
IEEE
14 years 2 months ago
A Geometric Representation of Protein Sequences
The amino acid sequence of a protein is the key to understanding its structure and ultimately its function in the cell. This paper addresses the fundamental issue of encoding amin...
Shengyin Gu, Olivier Poch, Bernd Hamann, Patrice K...