Template matching methods for robot navigation assistance

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

doi:10.1117/12.2528856

6 September 2019 Template matching methods for robot navigation assistance

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

Author Affiliations +

Proceedings Volume 11136, Optics and Photonics for Information Processing XIII; 111360K (2019) https://doi.org/10.1117/12.2528856
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

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.

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Citation Download Citation

Marisol Rodriguez-Cuevas, Victor H. Diaz-Ramirez, Rigoberto Juarez-Salazar, and Kenia Picos "Template matching methods for robot navigation assistance", Proc. SPIE 11136, Optics and Photonics for Information Processing XIII, 111360K (6 September 2019); https://doi.org/10.1117/12.2528856

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