Template matching methods for robot navigation assistance

Marisol Rodriguez-Cuevas, Victor H. Diaz-Ramirez, Rigoberto Juarez-Salazar, Kenia Picos

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

1 Scopus citations

Abstract

Template matching is an effective method for object recognition because it provides high accuracy in location estimation of targets and robustness to the presence of scene noise. These features are useful for vision-based robot navigation assistance where reliable detection and location of scene objects is essential. In this work, the use of advanced template matched filters applied for robot navigation assistance is presented. Several filters are constructed by the optimization of objective performance criteria. These filters are exhaustively evaluated in synthetic and experimental scenes, in terms of efficiency of target detection, the accuracy of a target location, and processing time.

Original languageEnglish
Title of host publicationOptics and Photonics for Information Processing XIII
EditorsKhan M. Iftekharuddin, Abdul A. S. Awwal, Victor H. Diaz-Ramirez, Andres Marquez
PublisherSPIE
ISBN (Electronic)9781510629653
DOIs
StatePublished - 2019
EventOptics and Photonics for Information Processing XIII 2019 - San Diego, United States
Duration: 13 Aug 201914 Aug 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11136
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptics and Photonics for Information Processing XIII 2019
Country/TerritoryUnited States
CitySan Diego
Period13/08/1914/08/19

Keywords

  • opto-digital correlators.
  • robot navigation assistance
  • template matching

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