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» Using Biologically Inspired Features for Face Processing
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AVSS
2006
IEEE
14 years 2 months ago
Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition
This paper examines the the effectiveness of feature modelling to conduct 2D and 3D face recognition. In particular, PCA difference vectors are modelled using Gaussian Mixture Mod...
Chris McCool, Jamie Cook, Vinod Chandran, Sridha S...
ICIP
2005
IEEE
14 years 10 months ago
Generalized optimal thresholding for biometric key generation using face images
1 In this paper, we study biometric key generation using face images. Given a face image, a set of biometric features are extracted. Each feature is compared with a threshold to ge...
Wende Zhang, Tsuhan Chen
PR
2006
155views more  PR 2006»
13 years 8 months ago
3D face detection using curvature analysis
Face detection is a crucial preliminary in many applications. Most all the approaches to face detection have focused on the use of two-dimensional images. We present an innovative...
Alessandro Colombo, Claudio Cusano, Raimondo Schet...
ICIP
2007
IEEE
14 years 10 months ago
Local or Global 3D Face and Facial Feature Tracker
We present in this paper a solution for 3D face and facial feature tracking using canonical correlation analysis and a 3D geometric model. This model is controlled with 17 paramet...
Franck Davoine, José Alonso Ybá&ntil...
ICIP
2005
IEEE
14 years 10 months ago
Extracting micro-structural gabor features for face recognition
Robustness and discriminability are two key issues in face recognition. In this paper, we propose a new algorithm which extracts micro-structural Gabor feature to achieve good robu...
Dian Gong, Qiong Yang, Xiaoou Tang, Jianhua Lu