LRA: Local Rigid Averaging of Stretchable Non-rigid Shapes

Dan Raviv, Eduardo Bayro-Corrochano, Ramesh Raskar

Research output: Contribution to journalArticlepeer-review

Abstract

We present a novel algorithm for generating the mean structure of non-rigid stretchable shapes. Following an alignment process, which supports local affine deformations, we translate the search of the mean shape into a diagonalization problem where the structure is hidden within the kernel of a matrix. This is the first step required in many practical applications, where one needs to model bendable and stretchable shapes from multiple observations.

Original languageEnglish
Pages (from-to)132-144
Number of pages13
JournalInternational Journal of Computer Vision
Volume124
Issue number2
DOIs
StatePublished - 1 Sep 2017

Keywords

  • Affine invariant
  • Averaging shapes
  • Metric invariants
  • Non-rigid shapes
  • Non-rigid statistics
  • Shape space

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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