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학술대회 Block Comparison Based Face Identification using HOG Feature
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저자
윤우한, 김도형, 송병열, 윤호섭
발행일
200910
출처
International Symposium on Robot and Human Interactive Communication (RO-MAN) 2009, pp.484-487
출판사
IEEE
DOI
https://dx.doi.org/10.1109/ROMAN.2009.5326203
협약과제
09IC1800, u-로봇 HRI 솔루션 및 핵심 소자 기술 개발, 황대환
초록
The fully automatic face identification on the robot system usually meet challenging environments due to the motion blur, illumination change, and erroneous face normalization caused by imperfect face detection. In the face identification system, multiple images of same individual in gallery set can be used as useful sources for good identification. This paper introduces the face identification system using efficient comparison method between gallery and probe set using HOG features. The comparison method based on blocks makes possible that the system could effectively use the limited registration images in the classification step. The whole process is validated on ETRI-HRI Database acquired in uncontrolled environment. © 2009 IEEE.
KSP 제안 키워드
Face detection, Face normalization, HOG feature, Identification system, Illumination change, Robot System, Whole process, comparison method, face identification, motion blur, uncontrolled environment