On the Uniqueness of Correspondence under Orthographic and Perspective Projections

Abstract

The task of shape recovery from a motion sequence requires the establishment of correspondence between image points. The two processes, the matching process and the shape recovery one, are traditionally viewed as independent. Yet, information obtained during the process of shape recovery can be used to guide the matching process. This paper discusses the mutual relationship between the two processes. The paper is divided into two parts. In the first part we review the constraints imposed on the correspondence by rigid transformations and extend them to objects that undergo general affine (non rigid) transformation (including stretch and shear), as well as to rigid objects with smooth surfaces. In all these cases corresponding points lie along epipolar lines, and these lines can be recovered from a small set of corresponding points. In the second part of the paper we discuss the potential use of epipolar lines in the matching process. We present an algorithm that recovers the correspondence from three contour images. The algorithm was implemented and used to construct object models for recognition. In addition we discuss how epipolar lines can be used to solve the aperture problem.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1991
Accession Number
ADA259933

Entities

People

  • Ronen Basri

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Stereo Vision
  • Computer Vision
  • Image Processing
  • Image Recognition
  • Line Of Sight
  • Object Recognition
  • Recognition
  • Sequences
  • Shape
  • Three Dimensional
  • Two Dimensional

Readers

  • Computer Vision.
  • Theoretical Analysis.