Template matching methods for robot navigation assistance

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

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1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaOptics and Photonics for Information Processing XIII
EditoresKhan M. Iftekharuddin, Abdul A. S. Awwal, Victor H. Diaz-Ramirez, Andres Marquez
EditorialSPIE
ISBN (versión digital)9781510629653
DOI
EstadoPublicada - 2019
EventoOptics and Photonics for Information Processing XIII 2019 - San Diego, Estados Unidos
Duración: 13 ago. 201914 ago. 2019

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen11136
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

ConferenciaOptics and Photonics for Information Processing XIII 2019
País/TerritorioEstados Unidos
CiudadSan Diego
Período13/08/1914/08/19

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