Skip to main content
Open Access Publications from the University of California

Exploration of shape variation using localized components analysis.

  • Author(s): Alcantara, Dan A
  • Carmichael, Owen
  • Harcourt-Smith, Will
  • Sterner, Kirstin
  • Frost, Stephen R
  • Dutton, Rebecca
  • Thompson, Paul
  • Delson, Eric
  • Amenta, Nina
  • et al.

Localized Components Analysis (LoCA) is a new method for describing surface shape variation in an ensemble of 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, and the formulation of locality is flexible enough to incorporate properties such as symmetry. This paper demonstrates that LoCA can provide intuitive presentations of shape differences associated with sex, disease state, and species in a broad range of biomedical specimens, including human brain regions and monkey crania.

Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.

Main Content
Current View