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» Improved Diffuse Reflection Models for Computer Vision
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ECCV
2008
Springer
15 years 11 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
CAE
2007
15 years 4 days ago
Liquid Penetration Modeling for Cloth Dyeing
This paper presents a model of cloth dyeing using the characteristics of the thread and weave pattern. The proposed dyeing model is based on Fick's second law that defines th...
Yuki Morimoto, Reiji Tsuruno, Kiyoshi Tomimatsu
CVPR
2004
IEEE
15 years 11 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
CVPR
2012
IEEE
13 years 4 days ago
Improving multi-target tracking via social grouping
We address the problem of multi-person dataassociation-based tracking (DAT) in semi-crowded environments from a single camera. Existing trackletassociation-based methods using pur...
Zhen Qin, Christian R. Shelton
WACV
2005
IEEE
15 years 3 months ago
Epipolar Constraints for Vision-Aided Inertial Navigation
— This paper describes a new method to improve inertial navigation using feature-based constraints from one or more video cameras. The proposed method lengthens the period of tim...
David D. Diel, Paul DeBitetto, Seth J. Teller