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Optimal sampling of Gabor features for face recognition
Dang Hui Liu
,
Kin Man Lam
, Lan Sun Shen
The Hong Kong Polytechnic University
Research output
:
Journal article publication
›
Journal article
›
Academic research
›
peer-review
98
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Citations (Scopus)
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Dive into the research topics of 'Optimal sampling of Gabor features for face recognition'. Together they form a unique fingerprint.
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Keyphrases
Face Recognition
100%
Gabor Features
100%
Optimal Sampling
100%
Feature Vector
42%
Linear Discriminant Analysis
42%
Dimensionality Reduction
28%
Principal Coordinate Analysis (PCoA)
28%
Sampling Methods
28%
Face Area
28%
Memory Requirements
14%
Recognition Rate
14%
Image Representation
14%
Frequent Sampling
14%
Training Image
14%
Discriminant Information
14%
Rate-based
14%
Number of Features
14%
Dimension One
14%
Recognition Performance
14%
Facial Expression Representation
14%
Optimal Position
14%
Regular Grid
14%
Engineering
Feature Vector
100%
Feature Point
66%
Component Analysis
66%
Image Representation
66%
Principal Components
66%
Experimental Result
33%
Memory Requirement
33%
Recognition Rate
33%
Simple Scheme
33%
Regular Grid
33%
Computer Science
Face Recognition
100%
Gabor feature
100%
Linear Discriminant Analysis
42%
Feature Vector
42%
Image Representation
28%
Principal Components
28%
Component Analysis
28%
Recognition Performance
14%
facial image
14%
Experimental Result
14%
Recognition Rate
14%
Memory Requirement
14%
Training Image
14%