Using image segmentation for evaluating 3D statistical shape models built with groupwise correspondence optimization

Computer Vision and Image Understanding

Volumn 125, Issue , 2014, Pages 283-303

  Gollmer, Sebastian T ^a   Kirschner, Matthias ^b   Buzug, Thorsten M ^a   Wesarg, Stefan ^c  

^a UNIVERSITY OF LÜBECK   (Germany)

^b DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^c FRAUNHOFER IGD   (Germany)

Author keywords

Correspondence; Evaluation; Image segmentation; Optimization; Statistical shape models

Indexed keywords

IMAGE SEGMENTATION; OPTIMIZATION;

CORRESPONDENCE; CORRESPONDENCE PROBLEMS; EVALUATION; OBJECTIVE FUNCTIONS; OPTIMIZATION STRATEGY; PRACTICAL RECOMMENDATION; SEGMENTATION ACCURACY; STATISTICAL SHAPE MODEL;

FUNCTION EVALUATION;

EID: 84901834948     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2014.04.014     Document Type: Article

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