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Proceedings Paper

Template matching methods for robot navigation assistance
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Paper 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.

Paper Details

Date Published: 6 September 2019
PDF: 8 pages
Proc. SPIE 11136, Optics and Photonics for Information Processing XIII, 111360K (6 September 2019); doi: 10.1117/12.2528856
Show Author Affiliations
Marisol Rodriguez-Cuevas, Instituto Politécnico Nacional - CITEDI (Mexico)
Victor H. Diaz-Ramirez, Instituto Politécnico Nacional - CITEDI (Mexico)
Rigoberto Juarez-Salazar, CONACYT - Instituto Politécnico Nacional - CITEDI (Mexico)
Kenia Picos, CETYS Univ. Baja California (Mexico)

Published in SPIE Proceedings Vol. 11136:
Optics and Photonics for Information Processing XIII
Khan M. Iftekharuddin; Abdul A. S. Awwal; Victor H. Diaz-Ramirez; Andrés Márquez, Editor(s)

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