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» Comparisons between Human and Computer Recognition of Faces
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CVPR
2005
IEEE
15 years 11 months ago
Nonlinear Face Recognition Based on Maximum Average Margin Criterion
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
Baochang Zhang, Xilin Chen, Shiguang Shan, Wen Gao
AUIC
2000
IEEE
15 years 10 months ago
The Metaphor of the Face as an Interface for Communicating Non-Quantitative Information
In this paper we propose that a metaphor can be used to represent domains that are not easily quantifiable. The metaphor then can be used as an interface to communicate informatio...
Simeon J. Simoff, Fay Sudweeks
SIBGRAPI
2006
IEEE
16 years 4 days ago
Expression Transfer between Photographs through Multilinear AAM's
Expression Transfer is a method for mapping a photographed expression performed by a given subject onto the photograph of another person’s face. Building on well succeeded previ...
Ives Macedo, Emilio Vital Brazil, Luiz Velho
CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Support Vector Machines in Face Recognition with Occlusions
Support Vector Machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the fe...
Aleix M. Martínez, Hongjun Jia
ICMCS
2006
IEEE
243views Multimedia» more  ICMCS 2006»
16 years 5 days ago
A Comparison of Three 3-D Facial Reconstruction Approaches
We compare three Computer Vision approaches to 3-D reconstruction, namely passive Binocular Stereo and active Structured Lighting and Photometric Stereo, in application to human f...
Alexander Woodward, Da An, Georgy L. Gimel'farb, P...