Tracking deformable surfaces with optical flow in the presence of self occlusion in monocular image sequences

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops

Volumn , Issue , 2008, Pages

  Hilsmann, Anna ^a   Eisert, Peter ^a  

^a FRAUNHOFER HEINRICH HERTZ INSTITUTE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; CURVE FITTING; DEFORMATION; ESTIMATION; FEATURE EXTRACTION; IMAGE PROCESSING; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; OPTICAL FLOWS; PATTERN RECOGNITION;

CHALLENGING PROBLEM; DEFORMABLE SURFACES; DEFORMATION MODELING; DIRECT METHOD; DISTINCT FEATURES; ERROR FUNCTIONS; LINEAR LEAST SQUARES; MONOCULAR IMAGE SEQUENCES; OPTICAL FLOW FIELDS; OPTICAL-FLOW; SELF OCCLUSIONS; SMOOTHNESS CONSTRAINTS;

MESH GENERATION;

EID: 52049113651     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2008.4563081     Document Type: Conference Paper

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