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Conformal geometric methods in computer vision

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

4 Scopus citations

Abstract

Shape analysis has fundamental importance in computer vision, including surface matching, registration, tracking, classification, recognition, etc. Computational methods based on conformal geometry can map any 3D surface to a 2D canonical domain. They provide a novel approach to 3D problems by converting them to 2D problems, which greatly simplifies the computation process. With this framework, we present a series of matching and registration methods for general surfaces, especially with large non-rigid deformations and complicated topologies. In addition, we introduce a global and unique shape signature for shape recognition applications. Experiments on a variety of real scans from different equipments demonstrate the efficiency and efficacy of the conformal geometric methods in computer vision applications.

Original languageEnglish
Title of host publication2011 8th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2011
DOIs
StatePublished - 2011
Event2011 8th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2011 - Hauppauge, NY, United States
Duration: Nov 2 2011Nov 3 2011

Publication series

Name2011 8th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2011

Conference

Conference2011 8th International Conference and Expo on Emerging Technologies for a Smarter World, CEWIT 2011
Country/TerritoryUnited States
CityHauppauge, NY
Period11/2/1111/3/11

Keywords

  • Conformal mapping
  • Diffeomorphism
  • Quasi-conformal mapping
  • Surface matching
  • Surface registration

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