Determination of motion parameters and estimation of point correspondences in small nonrigid deformations

  • Chandra Kambhamettu
  • , Dmitry B. Goldgof
  • , Matthew He

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

Abstract

Recovery of motion parameters and point correspondences is a fundamental problem in computer vision. Although a great deal of research has been done in solving rigid motion, nonrigid motion analysis has only recently been addressed, and is gaining interest due to its wide range of applications. This paper introduces a novel method for estimating motion parameters and point correspondences between surfaces under small nonrigid deformations. It uses the changes in differential geometric properties of surface under motion, using the initial derivations from [1]. Simulations are performed by generating nonrigid motion on an ellipsoidal data to illustrate performance and accuracy of derived algorithms. Then, the algorithm is tested on the sequence of facial range images. The motion parameters generated by the algorithm has also been used to detect the abnormality in cardiac images.

Original languageEnglish
Title of host publicationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PublisherPubl by IEEE
Pages943-946
Number of pages4
ISBN (Print)0818658274, 9780818658273
DOIs
StatePublished - 1994
Externally publishedYes
EventProceedings of the 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Seattle, WA, USA
Duration: Jun 21 1994Jun 23 1994

Publication series

NameProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISSN (Print)1063-6919

Conference

ConferenceProceedings of the 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CitySeattle, WA, USA
Period6/21/946/23/94

ASJC Scopus Subject Areas

  • Software
  • Computer Vision and Pattern Recognition

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