Unified stereo-based 3d head tracking using online illumination modeling and its application to face recognition = 온라인 조명 모델링을 이용한 통합 스테레오 기반 3차원 머리 추적과 얼굴 인식에의 응용

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This paper investigates the estimation of 3D head poses and its application to face recognition with a partial ellipsoid model. A human face provides a variety of different communicative functions such as identification, the perception of emotional expression, and lip-reading. For these reasons, many applications in robotics and computer vision fields require tracking and recognizing a human face. Since face space as a subspace of image space is highly nonlinear and non-convex, face recognition evaluation reports and other independent studies indicate that the performance of many state-of-the-art face recognition methods deteriorates with changes in pose, illumination, and other disturbing factors, among which pose variation is the most difficult one to deal with. Therefore, face registration is the key of robust face recognition. If we can register face images with pose variations into frontal views, the recognition task would be much easier. To align a face image into a canonical frontal view, we need to know the 3D pose information of a human head. In this dissertation, a simple method for modeling a human head as a partial 3D ellipsoid is firstly introduced. A 3D ellipsoid is a reasonable approximation to the shape of the actual head and can be easily initialized by a simple 2D face detector. For face detection and model initialization, a novel approach, which is based on the discriminative MspLBP features selected by a boosting technique called Ada-LDA, is presented. Generally, 3D model-based tracking with a single camera is not robust to fast and large out-of-plane rotations and especially movement in depth (along camera Z-axis). To cope with large out-of-plane rotations and depth-motion, we extend conventional 3D model-based tracking with a single camera to a stereo-based framework. To achieve robust motion estimation even under time-varying lighting conditions, we incorporate online illumination correction into the aforementioned framework. We appr...
Chung, Myung-Jinresearcher정명진researcher
한국과학기술원 : 전기 및 전자공학과,
Issue Date
418712/325007  / 020045848

학위논문(박사) - 한국과학기술원 : 전기 및 전자공학과, 2010.2, [ xii, 76 p. ]


Partial Ellipsoid Model; Online Illumination Modeling; Face Recognition; Head Pose Estimation; Stabilized View Generation; 안정화 이미지 생성; 부분 타원체 모델; 온라인 조명 모델링; 얼굴 인식; 머리 포즈 추정

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