Smoothing: A natural way to detect contour features |
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Authors: | Antonio Louro Will Machado Adilson Gonzaga |
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Affiliation: | 1. Universidade Estadual de Santa Cruz, Rodovia Ilhéus-Itabuna Km16, Ilhéus, BA, Brazil 2. PUC Minas Po?os de Caldas, Av. Padre Francis Cletus Cox, 1661, Po?os de Caldas, MG, Brazil 3. Depto de Engenharia Elétrica—EESC/USP Avenida Trabalhador S?o-carlense, 400, S?o Carlos, SP, Brazil
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Abstract: | This work presents a dominant point detector. The angles of the contour are characterized through local entropy produced by a rotationally symmetric smoothing. The proposed scheme uses a punctual multi-scale approach in which only the candidates are analyzed in higher scales. To preserve the angle-entropy relationship in higher scales, we propose a smoothing kernel which presents special features that ensure its steepness in every scale. It is built from the sum of two Gaussians with different openings resembling center-surround receptive fields. The outputs of the proposed method are confronted to a ground-truth found in the literature, and to popular boundary based corner detectors that used the same set of images. Results reveal that the proposed detector performs extremely well. |
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