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CVPR
1999
IEEE
15 years 10 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher
CIVR
2007
Springer
254views Image Analysis» more  CIVR 2007»
15 years 10 months ago
Soccer players identification based on visual local features
Semantic detection and recognition of objects and events contained in a video stream has to be performed in order to provide content-based annotation and retrieval of videos. This...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
DATE
2010
IEEE
151views Hardware» more  DATE 2010»
15 years 11 months ago
A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching
The release of general purpose GPU programming environments has garnered universal access to computing performance that was once only available to super-computers. The availability...
Aditi Rathi, Michael DeBole, Weina Ge, Robert T. C...
FGR
2006
IEEE
131views Biometrics» more  FGR 2006»
16 years 14 days ago
Haar Features for FACS AU Recognition
We examined the effectiveness of using Haar features and the Adaboost boosting algorithm for FACS action unit (AU) recognition. We evaluated both recognition accuracy and processi...
Jacob Whitehill, Christian W. Omlin
NIPS
2008
15 years 7 months ago
Spike Feature Extraction Using Informative Samples
This paper presents a new spike feature extraction algorithm that targets real-time spike sorting and facilitates miniaturized microchip implementation. The proposed algorithm has...
Zhi Yang, Qi Zhao, Wentai Liu