Feature extraction and matching as signal detection

Xiaoping Hu, Narendra Ahuja

Research output: Contribution to journalConference article


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 reconfigurated for many practical applications. Typical methods and the associated experiments with real image data are provided which demonstrate the superb performance of the methods.

Original languageEnglish (US)
Pages (from-to)51-65
Number of pages15
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Mar 11 1993
EventApplications of Artificial Intelligence 1993: Machine Vision and Robotics - Orlando, United States
Duration: Apr 11 1993Apr 16 1993

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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