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Volumn 30, Issue 10, 2009, Pages 908-913

State-of-the-art of 3D facial reconstruction methods for face recognition based on a single 2D training image per person

Author keywords

3D morphable model; 3D reconstruction; Face recognition; Single 2D training image; State of the art

Indexed keywords

2-D MODEL; 3D FACES; 3D GEOMETRY; 3D IMAGE CAPTURE; 3D MORPHABLE MODEL; 3D RECONSTRUCTION; ANALYSIS BY SYNTHESIS; ERROR FUNCTION; FACE IDENTIFICATION; FACE RECOGNITION SYSTEMS; FACIAL IMAGES; FACIAL MODEL; FITTING ALGORITHMS; GERMANY; HUMAN FACES; HYBRID DOMAIN; IMAGE ALIGNMENT ALGORITHM; INTERACTIVE TECHNIQUES; INTERPOLATION METHOD; MORPHABLE MODEL; OPTIMIZATION METHOD; PHOTOGRAPHIC IMAGE; RECONSTRUCTION METHOD; RECONSTRUCTION SYSTEMS; RECONSTRUCTION TECHNIQUES; SINGLE 2D TRAINING IMAGE; STATE-OF-THE-ART; TRAINING IMAGE; VIDEO SEQUENCES;

EID: 67349127283     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2009.03.011     Document Type: Article
Times cited : (75)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.