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» Adaptation of SIFT Features for Robust Face Recognition
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IBPRIA
2005
Springer
15 years 3 months ago
The Contribution of External Features to Face Recognition
In this paper we propose a face recognition algorithm that combines internal and external information of face images. Most of the previous works dealing with face recognition use o...
Àgata Lapedriza, David Masip, Jordi Vitri&a...
MVA
2007
170views Computer Vision» more  MVA 2007»
14 years 11 months ago
Adaptive Modified PCA for Face Recognition
In many real-world applications such as face recognition and mobile robotics, we need to use an adaptive version of feature extraction techniques. In this paper, we introduce an a...
Youness Aliyari Ghassabeh, Hamid Abrishami Moghadd...
MVA
2007
309views Computer Vision» more  MVA 2007»
14 years 9 months ago
Robust Facial Feature Extraction Using Embedded Hidden Markov Model for Face Recognition under Large Pose Variation
We propose an algorithm for extracting facial features robustly from images for face recognition under large pose variation. Rectangular facial features are retrieved via the by-p...
Ping-Han Lee, Yun-Wen Wang, Jison Hsu, Ming-Hsuan ...
CVPR
2004
IEEE
15 years 11 months ago
PCA-SIFT: A More Distinctive Representation for Local Image Descriptors
Stable local feature detection and representation is a fundamental component of many image registration and object recognition algorithms. Mikolajczyk and Schmid [14] recently eva...
Yan Ke, Rahul Sukthankar
DICTA
2003
14 years 11 months ago
Face Recognition Based on Multiple Region Features
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
Jiaming Li, Geoff Poulton, Ying Guo, Rong-yu Qiao