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CVPR
1999
IEEE
16 years 8 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg
CVPR
2001
IEEE
16 years 8 months ago
Critical Configurations for N-view Projective Reconstruction
In this paper we give a complete characterization of critical configurations for projective reconstruction with any number of points and views. A set of cameras and points is said...
Fredrik Kahl, Kalle Åström, Richard I. ...
CVPR
2005
IEEE
16 years 8 months ago
Generative versus Discriminative Methods for Object Recognition
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
Ilkay Ulusoy, Christopher M. Bishop
CVPR
2007
IEEE
16 years 8 months ago
Autocalibration and Uncalibrated Reconstruction of Shape from Defocus
Most algorithms for reconstructing shape from defocus assume that the images are obtained with a camera that has been previously calibrated so that the aperture, focal plane, and ...
Yifei Lou, Paolo Favaro, Andrea L. Bertozzi, Stefa...
CVPR
2008
IEEE
16 years 8 months ago
Correspondences between parts of shapes with particle filters
Given two shapes, the correspondence between distinct visual features is the basis for most alignment processes and shape similarity measures. This paper presents an approach intr...
Rolf Lakämper, Marc Sobel