Biological shape analysis by digital curvature |
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Authors: | Luciano da F Costa [Author Vitae] Sérgio F dos Reis [Author Vitae] [Author Vitae] Ana CR Alves [Author Vitae] [Author Vitae] |
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Affiliation: | a Cybernetic Vision Research Group, Institute of Physics at São Carlos - IFSC - University of São Paulo, Caixa Postal 369, São Carlos, SP 13560-970, Brazil b Departamento de Parasitologia, Universidade Estadual de Campinas, 13083-970 Campinas, São Paulo, Brazil c Programa de Pós-Graduação em Zoologia, Universidade Estadual Paulista, 13500-000 Rio Claro, São Paulo, Brazil |
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Abstract: | This paper reports the novel application of digital curvature as a feature for morphological characterization and classification of landmark shapes. By inheriting several unique features of the continuous curvature, the digital curvature provides invariance to translations, rotations, local shape deformations, and is easily made tolerant to scaling. In addition, the bending energy, a global shape feature, can be directly estimated from the curvature values. The application of these features to analyse patterns of cranial morphological geographic differentiation in the rodent species Thrichomys apereoides has led to encouraging results, indicating a close correspondence between the geographical and morphological distributions. |
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Keywords: | Shape analysis Digital curvature Morphological and geographic distributions Morphometric analysis Morphological landmark |
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