@inproceedings{a70a1f5167fc43fabbc73620b9e64e1d,
title = "Localized components analysis",
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.",
author = "Dan Alcantara and Owen Carmichael and Eric Delson and Will Harcourt-Smith and Kirsten Sterner and Stephen Frost and Rebecca Dutton and Paul Thompson and Howard Aizenstein and Oscar Lopez and James Becker and Nina Amenta",
year = "2007",
doi = "10.1007/978-3-540-73273-0\_43",
language = "English",
isbn = "3540732721",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "519--531",
booktitle = "Information Processing in Medical lmaging - 20th International Conference, IPMI 2007, Proceedings",
address = "Germany",
note = "20th International Conference on Information Processing in Medical lmaging, IPMI 2007 ; Conference date: 02-07-2007 Through 06-07-2007",
}