Single-view recognition: the perspective case

Peter F. Stiller; Charles A. Asmuth; Charles S. Wan

doi:10.1117/12.251797

30 September 1996 Single-view recognition: the perspective case

Peter F. Stiller, Charles A. Asmuth, Charles S. Wan

Author Affiliations +

Proceedings Volume 2826, Vision Geometry V; (1996) https://doi.org/10.1117/12.251797
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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.

Citation Download Citation

Peter F. Stiller, Charles A. Asmuth, and Charles S. Wan "Single-view recognition: the perspective case", Proc. SPIE 2826, Vision Geometry V, (30 September 1996); https://doi.org/10.1117/12.251797

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE