Using the vector distance functions to evolve manifolds of arbitrary codimension

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2106, Issue , 2001, Pages 1-13

  Gomes, José ^a   Faugeras, Olivier ^b,c  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b INRIA   (France)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; MORPHOLOGY; VELOCITY;

ARBITRARY DIMENSION; CODIMENSION; DISCONTINUOUS VELOCITY FIELDS; INTRINSIC PROPERTY; MEAN CURVATURE; SMOOTH MANIFOLDS; SPATIAL DERIVATIVES; VECTOR DISTANCE;

VECTOR SPACES;

EID: 23044526428     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47778-0_1     Document Type: Conference Paper

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