3D Curve Reconstruction From Uncalibrated Cameras.

Abstract

There has been considerable work recently on the problem of reconstruction of 3D point sets from two images, taken by uncalibrated cameras. However, the point correspondence has to be given. Here we deal with reconstruction of curves rather than points. While we need the correspondence between curves, this is an easier problem because curves are far fewer and more distinctive than points. We derive a simple and general reconstruction method, based on an invariant coordinate system. We then apply it to non-coplanar conics and to combinations of a 3D conic with points. 3D cubics are also discussed. Unlike previous work, we do not need to know the epipolar geometry; we recover it from the images.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1996
Accession Number
ADA306610

Entities

People

  • Isaac Weiss

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Cartesian Coordinates
  • Classification
  • Coefficients
  • Computer Vision
  • Computers
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  • Linear Systems
  • Maryland
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  • Object Recognition
  • Optical Scanning
  • Quadratic Equations
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Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Graph Algorithms and Convex Optimization.