Model-based invariants for 3D vision

D. Weinshall*

*Corresponding author for this work

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

4 Scopus citations

Abstract

We describe a hierarchical representation of 3D shape of objects, which is invariant to affine and rigid 3D transformations. Model-based invariant functions of general 3D objects are defined and constructed using this representation. A linear algorithm for invariant structure from motion from a sequence of images is outlined. The model-based invariant functions are used as model-based object recognition operators, operating on raw image features. An efficient invariant implementation of alignment and geometric hashing is also discussed. The complete description of this work is given in literature.

Original languageAmerican English
Title of host publicationIEEE Computer Vision and Pattern Recognition
Editors Anon
PublisherPubl by IEEE
Pages695-696
Number of pages2
ISBN (Print)0818638826
StatePublished - 1993
EventProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - New York, NY, USA
Duration: 15 Jun 199318 Jun 1993

Publication series

NameIEEE Computer Vision and Pattern Recognition

Conference

ConferenceProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CityNew York, NY, USA
Period15/06/9318/06/93

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