Simultaneous recognition and classification of multiple objects with a complex composite filter

Oliver G. Campos-Trujillo, Victor H. Diaz-Ramriez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A new complex-composite correlation filter for the simultaneous recognition and classification of several targets is presented. By using both the intensity and phase distributions of the output complex-correlation plane, a reliable recognition and classification of several objects can be easily carried out with only one correlation operation. The input objects are recognized using the intensity distribution of the output correlation plane, whereas recognized targets are classified using the phase values at the location of maximum intensities. Computer simulation results obtained with the proposed approach in geometrically distorted input test scenes are provided and discussed in terms of recognition performance, classification ability, and computational complexity.

Original languageEnglish
Title of host publicationOptics and Photonics for Information Processing IV
DOIs
StatePublished - 2010
EventOptics and Photonics for Information Processing IV - San Diego, CA, United States
Duration: 4 Aug 20105 Aug 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7797
ISSN (Print)0277-786X

Conference

ConferenceOptics and Photonics for Information Processing IV
Country/TerritoryUnited States
CitySan Diego, CA
Period4/08/105/08/10

Keywords

  • Complex correlation filter
  • Composite correlation filter
  • Multiclass pattern recognition

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