307 search results - page 54 / 62 » Discriminative Feature Co-Occurrence Selection for Object De... |
110
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CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...
112
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WSOM
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. The distribution of a class of objects, such as images depicting a specific topic, can be studied by observing the best-matching units (BMUs) of the objects’ feature v...
ICCS
2005
Springer
2005
Springer
Towards a Bayesian Approach to Robust Finding Correspondences in Multiple View Geometry Environments
15 years 5 months ago
Abstract. This paper presents a new Bayesian approach to the problem of finding correspondences of moving objects in a multiple calibrated camera environment. Moving objects are d...
102
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MIR
2004
ACM
15 years 5 months ago
2004
ACM
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
105
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ICIP
2000
IEEE
16 years 1 months ago
2000
IEEE
This paper introduces a simple criterion to select the most important level lines from the numerous set obtained with a topographic map. A topographic map gives a morphological an...