Localized components analysis

Dan Alcantara, Owen Carmichael, Eric Delson, Will Harcourt-Smith, Kirsten Sterner, Stephen Frost, Rebecca Dutton, Paul Thompson, Howard Aizenstein, Oscar Lopez, James Becker, Nina Amenta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

We introduce Localized Components Analysis (LoCA) for describing surface shape variation in an ensemble of biomedical objects using a linear subspace of spatially localized shape components. In contrast to earlier methods, LoCA optimizes explicitly for localized components and allows a flexible trade-off between localized and concise representations. Experiments comparing LoCA to a variety of competing shape representation methods on 2D and 3D shape ensembles establish the superior ability of LoCA to modulate the locality-conciseness tradeoff and generate shape components corresponding to intuitive modes of shape variation. Our formulation of locality in terms of compatibility between pairs of surface points is shown to be flexible enough to enable spatially-localized shape descriptions with attractive higher-order properties such as spatial symmetry.

Original languageEnglish
Title of host publicationInformation Processing in Medical lmaging - 20th International Conference, IPMI 2007, Proceedings
PublisherSpringer Verlag
Pages519-531
Number of pages13
ISBN (Print)3540732721, 9783540732723
DOIs
StatePublished - 2007
Externally publishedYes
Event20th International Conference on Information Processing in Medical lmaging, IPMI 2007 - Kerkrade, Netherlands
Duration: 2 Jul 20076 Jul 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4584 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Information Processing in Medical lmaging, IPMI 2007
Country/TerritoryNetherlands
CityKerkrade
Period2/07/076/07/07

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