Sparse shape representation using the Laplace-Beltrami eigenfunctions and its application to modeling subcortical structures

Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis

Volumn , Issue , 2012, Pages 25-32

  Kim, Seung Goo ^a   Chung, Moo K ^a,b,c   Schaefer, Stacey M ^b   Van Reekum, Carien ^e   Davidson, Richard J ^b,d  

^a Seoul National University   (South Korea)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^d UNIVERSITY OF WISCONSIN MADISON   (United States)

^e UNIVERSITY OF READING   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FOURIER-SERIES EXPANSION; HIGH-FREQUENCY NOISE; HIGHER FREQUENCIES; LOWER FREQUENCIES; SHAPE MODELING; SHAPE REPRESENTATION; SUBCORTICAL STRUCTURES; SURFACE SHAPE; SURFACE-BASED;

FOURIER SERIES; IMAGE ANALYSIS; LAPLACE TRANSFORMS;

EIGENVALUES AND EIGENFUNCTIONS;

EID: 84859894192     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MMBIA.2012.6164736     Document Type: Conference Paper

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