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» Face Recognition Based on 2D and 3D Features
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JCP
2008
167views more  JCP 2008»
14 years 9 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
ICDAR
2009
IEEE
15 years 4 months ago
Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image an...
Muhammad Muzzamil Luqman, Thierry Brouard, Jean-Yv...
IVC
2008
147views more  IVC 2008»
14 years 9 months ago
Distinctive and compact features
We consider the problem of extracting features for multi-class recognition problems. The features are required to make fine distinction between similar classes, combined with tole...
Ayelet Akselrod-Ballin, Shimon Ullman
MM
2004
ACM
195views Multimedia» more  MM 2004»
15 years 3 months ago
Facial expression representation and recognition based on texture augmentation and topographic masking
The variation of facial texture and surface due to the change of expression is an important cue for analyzing and modeling facial expressions. In this paper, we propose a new appr...
Lijun Yin, Johnny Loi, Wei Xiong

Publication
256views
13 years 11 months ago
Facial Feature Detection Using Distance Vector Fields
A novel method for eye and mouth detection and eye center and mouth corner lo- calization, based on geometrical information is presented in this paper. First, a face detector is ...
Stylianos Asteriadis, Nikos Nikolaidis, Ioannis Pi...