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» Feature Selection for Pose Invariant Face Recognition
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KDD
2003
ACM
135views Data Mining» more  KDD 2003»
15 years 10 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu
ICCV
1995
IEEE
15 years 1 months ago
Recognizing 3D Objects Using Photometric Invariant
In this paper we describe a new e cient algorithm for recognizing 3D objects by combining photometric and geometric invariants. Some photometric properties are derived, that are i...
Kenji Nagao
ICIP
2001
IEEE
15 years 11 months ago
Extraction of rotation invariant signature based on fractal geometry
In this paper, a new method of feature extraction with rotation invariant property is presented. One of the main contributions of this study is that a rotation invariant signature...
Yu Tao, Thomas R. Ioerger, Yuan Yan Tang
FGR
2008
IEEE
358views Biometrics» more  FGR 2008»
15 years 4 months ago
Automatic 3D face reconstruction from single images or video
This paper presents a fully automated algorithm for reconstructing a textured 3D model of a face from a single photograph or a raw video stream. The algorithm is based on a combin...
Pia Breuer, Kwang In Kim, Wolf Kienzle, Bernhard S...
ICARCV
2008
IEEE
222views Robotics» more  ICARCV 2008»
15 years 4 months ago
Robust fusion using boosting and transduction for component-based face recognition
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...
Fayin Li, Harry Wechsler, Massimo Tistarelli