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Proceedings Paper

Feature extraction and matching as signal detection
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Paper Abstract

General aspects of feature extraction and matching are addressed, which include optimal principles, similarity measures, constraints, and heuristics. The common characteristics of feature extraction and matching are summarized which show that they can be considered as special cases of signal detection. However, the existing signal detection theories do not solve these problems readily. Therefore, a general formulation of feature extraction and matching as a problem of signal detection is desired and presented. This formulation considers feature extraction and matching as similar, subsequent processes, which well integrates the two different processes together to form an automatic system for image matching or object recognition. Guidelines for designing algorithms for detection or matching of arbitrary image features or patterns are derived which can be easily reconfigured for many practical applications. Typical methods and the associated experiments with real image data are provided which demonstrate the superb performance of the methods.

Paper Details

Date Published: 11 March 1993
PDF: 15 pages
Proc. SPIE 1964, Applications of Artificial Intelligence 1993: Machine Vision and Robotics, (11 March 1993); doi: 10.1117/12.141790
Show Author Affiliations
Xiaoping Hu, Univ. of Illinois/Urbana-Champaign (United States)
Narendra Ahuja, Univ. of Illinois/Urbana-Champaign (United States)


Published in SPIE Proceedings Vol. 1964:
Applications of Artificial Intelligence 1993: Machine Vision and Robotics
Kim L. Boyer; Louise Stark, Editor(s)

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