Rapid inference of object rigidity and reflectance using optic flow

Di Zang, Katja Doerschner, Paul R Schrater

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Rigidity and reflectance are key object properties, important in their own rights, and they are key properties that stratify motion reconstruction algorithms. However, the inference of rigidity and reflectance are both difficult without additional information about the object's shape, the environment, or lighting. For humans, relative motions of object and observer provides rich information about object shape, rigidity, and reflectivity. We show that it is possible to detect rigid object motion for both specular and diffuse reflective surfaces using only optic flow, and that flow can distinguish specular and diffuse motion for rigid objects. Unlike nonrigid objects, optic flow fields for rigid moving surfaces are constrained by a global transformation, which can be detected using an optic flow matching procedure across time. In addition, using a Procrustes analysis of structure from motion reconstructed 3D points, we show how to classify specular from diffuse surfaces.

Original languageEnglish (US)
Title of host publicationComputer Analysis of Images and Patterns - 13th International Conference, CAIP 2009, Proceedings
Pages881-888
Number of pages8
DOIs
StatePublished - Sep 28 2009
Event13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009 - Munster, Germany
Duration: Sep 2 2009Sep 4 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5702 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009
CountryGermany
CityMunster
Period9/2/099/4/09

Keywords

  • Optic flow
  • Reflectance classification
  • Rigidity detection
  • Specular motion

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