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Day-and-Night Video Based Face Identification
Jyh-Yeong Chang, Tzu-Rou Chan, Fu Hsin-Chia Fu
電機工程學系
研究成果
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同行評審
1
引文 斯高帕斯(Scopus)
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Keyphrases
Video-based
100%
Sub-image
100%
Face Identification
100%
Night Video
100%
OpenCV
57%
Video Frames
28%
Face Recognition
28%
Non-faces
28%
Canonical Space
28%
New Space
14%
Image Contrast
14%
Video Image
14%
Daily Life
14%
Video Camera
14%
Intruder
14%
Human Recognition
14%
Face Recognition System
14%
Human Face
14%
Space Transformation
14%
Centroid
14%
Color Tone
14%
Feature-based Algorithms
14%
All-day
14%
Face Recognition Accuracy
14%
Eigenspace
14%
Human Face Recognition
14%
Majority Vote
14%
Near-infrared Camera
14%
Multi-scale Retinex
14%
Face Extraction
14%
Pixel-based Algorithms
14%
Haar Cascade Classifier
14%
Computer Science
Face Recognition
100%
Face Identification
100%
Recognition System
50%
Recognition Accuracy
50%
Image Contrast
50%
Classifier Cascade
50%