Aspects of the detection of scene congruence

Authors:
Martin A. Fischler
Affiliations:
Lockheed Palo Alto Research Laboratory, Palo Alto, California
Venue:
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
Year:
1971

Citing 2
Cited 1

Decision-making processes in pattern recognition (ACM monograph series)

Decision-making processes in pattern recognition (ACM monograph series)
Linguistic methods in picture processing: a survey

AFIPS '68 (Fall, part I) Proceedings of the December 9-11, 1968, fall joint computer conference, part I

The Representation and Matching of Pictorial Structures

IEEE Transactions on Computers

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Abstract

The problem of matching two scenes, one contained in the other, arises in many practical picture processing tasks including stereocompilation, classification of photographic data, and map matching for navigation and guidance. Because the images are not exact replicas, but rather noisy and perhaps geometrically distorted versions of the original scenes, it is necessary to develop a body of theory capable of providing answers to questions concerning effects of various types of error, and means for minimizing the effects of such errors. This paper presents a "decision space" approach to the problem for dealing with small amounts of noise and distortion, and a promising new technique for dealing with "rubber sheet" distortion.