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» Graph-Theoretical Methods in Computer Vision
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ICPR
2002
IEEE
16 years 3 months ago
Classification Using a Hierarchical Bayesian Approach
A key problem faced by classifiers is coping with styles not represented in the training set. We present an application of hierarchical Bayesian methods to the problem of recogniz...
Charles Mathis, Thomas M. Breuel
139
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ICPR
2008
IEEE
15 years 9 months ago
Symmetric segment-based stereo matching of motion blurred images with illumination variations
Most existing methods of stereo matching focus on dealing with clear image pairs. Consequently, there is a lack of approaches capable of handling degraded images captured under ch...
Wei Wang, Yizhou Wang, Longshe Huo, Qingming Huang...
ACCV
2007
Springer
15 years 8 months ago
Gesture Recognition Under Small Sample Size
This paper addresses gesture recognition under small sample size, where direct use of traditional classifiers is difficult due to high dimensionality of input space. We propose a ...
Tae-Kyun Kim, Roberto Cipolla
ECCV
2010
Springer
15 years 7 months ago
Velocity-Dependent Shutter Sequences for Motion Deblurring
We address the problem of high-quality image capture of fast-moving objects in moderate light environments. In such cases, the use of a traditional shutter is known to yield non-in...
BMVC
2010
15 years 16 days ago
Accurate and Efficient Face Recognition from Video
As a problem of high practical appeal but outstanding challenges, computer-based face recognition remains a topic of extensive research attention. In this paper we are specificall...
Ognjen Arandjelovic