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Proceedings Paper

Single-view recognition: the perspective case
Author(s): Peter F. Stiller; Charles A. Asmuth; Charles S. Wan
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Paper Abstract

Using the theory of correspondences from algebraic geometry, we have developed methods for relating 3D objects to 2D images and vice versa. This provides a very general framework for the use of geometric invariants in image recognition. At a concrete level, our techniques yield a system of polynomial equations in variables which represent both the 3D invariants of the features on an object and the 2D invariants of the features in an image. These equations will be satisfied if and only if the object can produce the image up to projective transformations of both the object and the image. The case of affine invariants was dealt with in previous work. The applications considered are to single view recognition and to indexing image databases for content based retrieval.

Paper Details

Date Published: 30 September 1996
PDF: 10 pages
Proc. SPIE 2826, Vision Geometry V, (30 September 1996); doi: 10.1117/12.251797
Show Author Affiliations
Peter F. Stiller, Texas A&M Univ. (United States)
Charles A. Asmuth, David Sarnoff Research Ctr. (United States)
Charles S. Wan, David Sarnoff Research Ctr. (United States)


Published in SPIE Proceedings Vol. 2826:
Vision Geometry V
Robert A. Melter; Angela Y. Wu; Longin Jan Latecki, Editor(s)

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