518 search results - page 5 / 104 » Face Recognition Using Sift Features |
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CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
FGR
2004
IEEE
15 years 1 months ago
2004
IEEE
In this paper we explore different strategies for classifier combination within the framework of component-based face recognition. In our current system, the gray values of facial...
MM
2010
ACM
14 years 9 months ago
2010
ACM
Many content-based retrieval systems (CBIRS) describe images using the SIFT local features because of their very robust recognition capabilities. While SIFT features proved to cop...
IBPRIA
2005
Springer
15 years 3 months ago
2005
Springer
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...
ICMCS
2006
IEEE
15 years 3 months ago
2006
IEEE
In this paper, we developed a family of 2D and 3D invariant features with applications to 3D human faces recognition. The main contributions of this paper are: (a) systematically ...