Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition

Xiaoyang Tan; Bill Triggs

doi:10.1007/978-3-540-75690-3_18

ScienceGate Book Chapters

BOOK-CHAPTER

Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition

Xiaoyang Tan Bill Triggs

Year: 2007 Lecture notes in computer science Pages: 235-249 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-75690-3_18

Get Full-Text PDF Get Analytical Report

Keywords:

Artificial intelligence Pattern recognition (psychology) Local binary patterns Discriminative model Gabor wavelet Normalization (sociology) Facial recognition system Computer science Kernel (algebra) Face (sociological concept) Feature (linguistics) Support vector machine Feature vector Linear discriminant analysis Feature extraction Computer vision Histogram Mathematics Wavelet transform Wavelet Discrete wavelet transform Image (mathematics)

Metrics

282

Cited By

15.13

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Face recognition and analysis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Biometric Identification and Security

Physical Sciences → Computer Science → Signal Processing

Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition

Metrics

Citation History

Topics

Related Documents

Fusing Gabor and LBP feature sets for KNN and SRC-based face recognition

Gabor feature based face recognition using kernel methods

3D Face Recognition by Kernel Collaborative Representation Based on Gabor Feature

Face recognition based on gradient gabor feature and Efficient Kernel Fisher analysis

Face recognition based on Gradient Gabor feature