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14 September 2016 Scale estimation of objects using template matching
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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.
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Leopoldo N. Gaxiola, Victor H. Diaz-Ramirez, and Juan J. Tapia "Scale estimation of objects using template matching", Proc. SPIE 9970, Optics and Photonics for Information Processing X, 99701K (14 September 2016);

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