Nonlinear shape statistics in mumford–shah based segmentation

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

Volumn 2351, Issue , 2003, Pages 93-108

  Cremers, Daniel ^a   Kohlberger, Timo ^a   Schnörr, Christoph ^a  

^a UNIVERSITY OF MANNHEIM   (Germany)

Author keywords

Density estimation; Mercer kernels; Nonlinear statistics; Probabilistic kernel PCA; Segmentation; Shape learning; Variational methods

Indexed keywords

IMAGE SEGMENTATION; OBJECT RECOGNITION; STATISTICS; STOCHASTIC SYSTEMS;

DENSITY ESTIMATION; KERNEL PCA; MERCER KERNEL; NONLINEAR STATISTICS; SHAPE LEARNING; VARIATIONAL METHODS;

COMPUTER VISION;

EID: 84948994285     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47967-8_7     Document Type: Conference Paper

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