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» Using Component Features for Face Recognition
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136
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CVPR
1998
IEEE
16 years 4 months ago
Probabilistic Reasoning Models for Face Recognition
We introduce in this paper two probabilistic reasoning models (PRM-1 and PRM-2) which combine the Principal Component Analysis (PCA) technique and the Bayes classifier and show th...
Chengjun Liu, Harry Wechsler
162
Voted
ICPR
2008
IEEE
15 years 9 months ago
Automatic face and facial features initialization for robust and accurate tracking
Face detection and tracking, through image sequences, are primary steps in many applications such as video surveillance, human computer interface, and expression analysis. Many cu...
Murad Al Haj, Javier Orozco, Jordi Gonzàlez...
ECCV
2004
Springer
15 years 8 months ago
Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics
Abstract. We propose a new method for face recognition under arbitrary pose and illumination conditions, which requires only one training image per subject. Furthermore, no limitat...
Lei Zhang 0002, Dimitris Samaras
SAC
2010
ACM
15 years 9 months ago
Seal object detection in document images using GHT of local component shapes
Due to noise, overlapped text/signature and multi-oriented nature, seal (stamp) object detection involves a difficult challenge. This paper deals with automatic detection of seal ...
Partha Pratim Roy, Umapada Pal, Josep Lladó...
ICB
2009
Springer
142views Biometrics» more  ICB 2009»
15 years 7 months ago
A Random Network Ensemble for Face Recognition
In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training se...
Kwontaeg Choi, Kar-Ann Toh, Hyeran Byun