Recursive Structure and Motion from Image Sequences using Shape and Depth Spaces

Rikard Berthilsson, Anders Heyden, Gunnar Sparr

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

In this paper a novel recursive method for estimating structure and motion from image sequences is presented. The novelty lies in the fact that the output of the algorithm is independent of the chosen coordinate systems in the images as well as the ordering of the points. It relies on subspace methods and is derived from both ordinary coordinate representations and camera matrices and from a so called depth and shape analysis. Furthermore, no initial phase is needed to start up the algorithm. It starts directly with the first two images and incorporates new images as soon as new corresponding points are obtained. The performance of the algorithm is shown on simulated data. Moreover, the two different approaches, one using camera matrices and the other using the concepts of affine shape and depth, are unified into a general theory of structure and motion from image sequences.
Original languageEnglish
Title of host publication[Host publication title missing]
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages444-449
DOIs
Publication statusPublished - 1997
EventIEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997 - San Juan, Puerto Rico
Duration: 1997 Jun 171997 Jun 19

Publication series

Name
ISSN (Print)1063-6919

Conference

ConferenceIEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997
Country/TerritoryPuerto Rico
CitySan Juan
Period1997/06/171997/06/19

Subject classification (UKÄ)

  • Mathematics

Free keywords

  • Computer simulation
  • Recursive functions
  • Algorithms
  • Image quality
  • Image analysis

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