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» Location Recognition Using Prioritized Feature Matching
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ICIP
2010
IEEE
14 years 9 months ago
3D augmented Markov random field for object recognition
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...
Wei Yu, Ahmed Bilal Ashraf, Yao-Jen Chang, Congcon...
FGR
2006
IEEE
117views Biometrics» more  FGR 2006»
15 years 6 months ago
A Landmark Paper in Face Recognition
Good registration (alignment to a reference) is essential for accurate face recognition. The effects of the number of landmarks on the mean localization error and the recognition ...
G. M. Beumer, Qian Tao, Asker M. Bazen, Raymond N....
PAMI
2008
156views more  PAMI 2008»
14 years 11 months ago
Tied Factor Analysis for Face Recognition across Large Pose Differences
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face: typical feature vectors vary more with pose than with identi...
Simon J. D. Prince, James H. Elder, Jonathan Warre...
BMVC
2010
14 years 10 months ago
Real-time Action Recognition by Spatiotemporal Semantic and Structural Forests
Whereas most existing action recognition methods require computationally demanding feature extraction and/or classification, this paper presents a novel real-time solution that ut...
Tsz-Ho Yu, Tae-Kyun Kim, Roberto Cipolla
MM
2005
ACM
179views Multimedia» more  MM 2005»
15 years 5 months ago
Automatic identification of digital video based on shot-level sequence matching
To locate a video clip in large collections is very important for retrieval applications, especially for digital rights management. In this paper, we present a novel technique for...
Jian Zhou, Xiao-Ping Zhang