Fuzzy Two-dimensional Principal Component Analysis and Its Application to Face Recognition

Zhenyang Yu; Shangbing Gao

doi:10.4156/aiss.vol3.issue11.41

ScienceGate Book Chapters

JOURNAL ARTICLE

Fuzzy Two-dimensional Principal Component Analysis and Its Application to Face Recognition

Zhenyang Yu Shangbing Gao

Year: 2011 Journal: INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences Vol: 3 (11)Pages: 335-341

DOI: 10.4156/aiss.vol3.issue11.41

Get Full-Text PDF Get Analytical Report

Keywords:

Principal component analysis Face (sociological concept) Facial recognition system Artificial intelligence Component (thermodynamics) Pattern recognition (psychology) Computer science Fuzzy logic Computer vision Sociology Physics

Metrics

Cited By

0.65

FWCI (Field Weighted Citation Impact)

Refs

0.74

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Fuzzy Two-dimensional Principal Component Analysis and Its Application to Face Recognition

Metrics

Citation History

Topics

Related Documents

Fuzzy Kernel Two-dimensional Principal Component Analysis for Face Recognition

The Application of Fuzzy Two-Dimensional Principal Component Analysis (F2DPCA) on Face Recognition

Face recognition using two-dimensional nonnegative principal component analysis

Two-dimensional sparse principal component analysis for face recognition

Two-Dimensional Parameter Principal Component Analysis for Face Recognition