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» The development features of the face recognition system
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ICIAR
2010
Springer
15 years 6 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
GLVLSI
2003
IEEE
202views VLSI» more  GLVLSI 2003»
15 years 7 months ago
System level design of real time face recognition architecture based on composite PCA
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
Rajkiran Gottumukkal, Vijayan K. Asari
122
Voted
AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
15 years 7 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
MM
2004
ACM
229views Multimedia» more  MM 2004»
15 years 7 months ago
Generating 3D views of facial expressions from frontal face video based on topographic analysis
In this paper, we report our newly developed 3D face modeling system with arbitrary expressions in a high level of detail using the topographic analysis and mesh instantiation pro...
Lijun Yin, Kenny Weiss
AMFG
2007
IEEE
328views Biometrics» more  AMFG 2007»
15 years 8 months ago
Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition
Extending recognition to uncontrolled situations is a key challenge for practical face recognition systems. Finding efficient and discriminative facial appearance descriptors is c...
Xiaoyang Tan, Bill Triggs