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Scale estimation of objects using template matching
Author(s): Leopoldo N. Gaxiola; Victor H. Diaz-Ramirez; Juan J. Tapia
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Paper Abstract

Scale estimation of objects is a challenging problem in image processing. This work presents a novel method to detect and estimate the scaling factor of a target in an observed scene corrupted with additive noise and clutter. Given a set of available views of the target the proposed method is able to detect the target and estimate its scaling factor using a template matched filters and a scale pyramidal representation. The performance of the proposed method is evaluated in synthetic and real-life scenes in different pattern recognition applications. The obtained results are characterized in terms of objective metrics.

Paper Details

Date Published: 14 September 2016
PDF: 7 pages
Proc. SPIE 9970, Optics and Photonics for Information Processing X, 99701K (14 September 2016); doi: 10.1117/12.2238016
Show Author Affiliations
Leopoldo N. Gaxiola, Instituto Politécnico Nacional - Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Victor H. Diaz-Ramirez, Instituto Politécnico Nacional - Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Juan J. Tapia, Instituto Politécnico Nacional - Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)


Published in SPIE Proceedings Vol. 9970:
Optics and Photonics for Information Processing X
Khan M. Iftekharuddin; Abdul A. S. Awwal; Mireya García Vázquez; Andrés Márquez; Mohammad A. Matin, Editor(s)

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