Reconstruction of 3D-Curves from 2D-Images Using Affine Shape Methods for Curves

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

Abstract

In this paper, we propose an algorithm for doing reconstruction of general 3D-curves from a number of 2D-images taken by uncalibrated cameras. No point correspondences between the images are assumed. The curve and the view points are uniquely reconstructed, modulo common projective transformations and the point correspondence problem is solved. Furthermore, the algorithm is independent of the choice of coordinates, as it is based on orthogonal projections and aligning subspaces. The algorithm is based on an extension of affine shape of finite point configurations to more general objects.

Details

Authors
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Mathematics

Keywords

  • Algorithms, Image quality, Image enhancement, Mathematical transformations
Original languageEnglish
Title of host publication[Host publication title missing]
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages476-481
Publication statusPublished - 1997
Publication categoryResearch
Peer-reviewedNo
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
CountryPuerto Rico
CitySan Juan
Period1997/06/171997/06/19