TY - GEN
T1 - Localized components analysis
AU - Alcantara, Dan
AU - Carmichael, Owen
AU - Delson, Eric
AU - Harcourt-Smith, Will
AU - Sterner, Kirsten
AU - Frost, Stephen
AU - Dutton, Rebecca
AU - Thompson, Paul
AU - Aizenstein, Howard
AU - Lopez, Oscar
AU - Becker, James
AU - Amenta, Nina
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=34548453163&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-73273-0_43
DO - 10.1007/978-3-540-73273-0_43
M3 - Conference contribution
C2 - 17633726
AN - SCOPUS:34548453163
SN - 3540732721
SN - 9783540732723
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 519
EP - 531
BT - Information Processing in Medical lmaging - 20th International Conference, IPMI 2007, Proceedings
PB - Springer Verlag
T2 - 20th International Conference on Information Processing in Medical lmaging, IPMI 2007
Y2 - 2 July 2007 through 6 July 2007
ER -