서지주요정보
얼굴 검출 및 자세 추정을 위한 고유공간 접근 방법 = An eigenspace approach for face detection and pose estimation
서명 / 저자 얼굴 검출 및 자세 추정을 위한 고유공간 접근 방법 = An eigenspace approach for face detection and pose estimation / 김승현.
저자명 김승현 ; Kim, Seung-Hyun
발행사항 [대전 : 한국과학기술원, 2001].
Online Access 원문보기 원문인쇄

소장정보

등록번호

8012440

소장위치/청구기호

학술문화관(문화관) 보존서고

MEE 01117

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이용가능

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반납예정일

초록정보

In multi-view object detection, pose estimation should precede the decision stage of face or nonface. Pose estimation unit is implemented by designing a multi-class classifier of the predefined pose categories. Eigenspace approach is used throughout in this paper. For out-of-plane rotation estimation, Linear Discriminant Analysis (LDA) is employed in the proposed system, instead of the PCA reconstruction-based method. LDA provides a single linear subspace where data in each class may construct a cluster separable from the others. On the other hand, PCA uses different subspaces for the measurement of similarity to each eigenspace pose model, which sometimes gives vague criterion for classification. Moreover, the LDA-based algorithm is a lot faster since it only needs a single projection of input to the discriminant space, when PCA-based algorithm requires as many projections as the number of poses. One significant drawback in LDA is the lack of generalization capability, and this can be overcome by introducing Gabor response instead of normalized image. The benefit of applying Gabor response to the multi-view face detection problem is discussed in many aspects based on some experiments. The validity of the proposed approach is verified through experiments, which include comparison among various combinations of proposed and previous approaches. And multi-view face detection results are given to show its effectiveness.

서지기타정보

서지기타정보
청구기호 {MEE 01117
형태사항 iv, 42 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Seung-Hyun Kim
지도교수의 한글표기 : 권인소
지도교수의 영문표기 : In-So Kweon
학위논문 학위논문(석사) - 한국과학기술원 : 전기및전자공학전공,
서지주기 참고문헌 : p. 41-42
주제 얼굴 검출
자세 추정
고유 공간
face detection
pose recognition
pose estimation
linear discriminant analysis
eigenspace
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