Analysis of color effect on the face recognition with spatial resolution constraints = 얼굴 영상 크기의 제약이 존재하는 얼굴 인식에서의 컬러의 효과

Human face is the most common and natural biometric signature to distinguish different identities. However, there remain many restrictions in automatic face recognition (FR) due to illumination, pose, aging variations, small size and low image quality. Particularly, face resolution is a significant constraint to some FR applications (e.g., surveillance-related and access control systems) where various resolutions could be obtained due to different camera capture conditions. Under such FR environments, it is important to find face cues robust to resolution variations. Color feature is generally less vulnerable to image degradation and variation in resolution relative to grayscale. We investigate the effect of color on FR with resolution variations in well-known appearance-based method, PCA and LDA. In FR applications like surveillance being confined to resolution limitations, the practical issue is that the resolution of registered face is different from that used for verification or identification. To deal with this problem, we present an estimation of feature subspace that optimally represents lower resolution faces from given feature subspace pre-constructed with high-resolution faces. Also, color is applied to our proposed subspace estimation method to observe the effect on performance with respect to resolution changes. The theoretical analysis and extensive experiments are given to verify color role in FR constrained with low face resolution.
Advisors
Ro, Yong-Manresearcher노용만researcher
Publisher
한국정보통신대학교
Issue Date
2008
Identifier
392957/225023 / 020064615
Language
eng
Description

학위논문(석사) - 한국정보통신대학교 : 공학부, 2008.2, [ ix, 75 p. ]

Keywords

luminance and chrominance; face resolution; face recognition; identification and verification; 인증과 검증; 루미넌스와 크라미넌스; 얼굴 해상도; 얼굴 인식

URI
http://hdl.handle.net/10203/54986
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=392957&flag=t
Appears in Collection
School of Engineering-Theses_Master(공학부 석사논문)
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