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ICCV
2009
IEEE
1735views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Coded Aperture Pairs for Depth From Defocus
The classical approach to depth from defocus uses two images taken with circular apertures of different sizes. We show in this paper that the use of a circular aperture severely...
Changyin Zhou, Stephen Lin, Shree Nayar
ICCV
2009
IEEE
16 years 11 months ago
Multimodal Partial Estimates Fusion
Fusing partial estimates is a critical and common problem in many computer vision tasks such as part-based detection and tracking. It generally becomes complicated and intractab...
Jiang Xu, Junsong Yuan, YingWu
185
Voted
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
ICIP
2006
IEEE
16 years 8 months ago
Image Retrieval using Long-Term Semantic Learning
The automatic computation of features for content-based image retrieval still has difficulties to represent the concepts the user has in mind. Whenever an additional learning stra...
Matthieu Cord, Philippe Henri Gosselin
ICIP
2006
IEEE
16 years 8 months ago
Dead-End Elimination as a Heuristic for Min-Cut Image Segmentation
We apply the dead-end elimination (DEE) strategy from protein design as a heuristic for the max-flow/min-cut formulation of the image segmentation problem. DEE combines aspects of...
Mala L. Radhakrishnan, Sara L. Su