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Symmetry in Computer Vision

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Visual Attention Mechanisms

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Abstract

Symmetry properties establish the invariance of a system to a given set of transformations. Physicists assign special meaning whenever symmetry is broken in nature; for example, groups of symmetry have been used to explain and predict the spatial organization of atoms in a crystal. Psychologists consider relevant the property of symmetry in the perception of visual signals. The paper will briefly describe different approaches, introduced in computer vision, to measure symmetry. A review of some applications at the Computer Vision Group (Department of Mathematics and Applications of Palermo University) is presented. They regard attentive visual processing, the analysis of faces, the recognition of object, and the analysis of texture.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Applications, University of Palermo, Via Archirafi 34, 90123, Palermo, Italy

    Vito Di Gesù

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  1. Vito Di Gesù
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Editor information

Editors and Affiliations

  1. University of Pavia, Pavia, Italy

    Virginio Cantoni

  2. University of Salerno, Baronissi, Italy

    Maria Marinaro

  3. National Research Council, Naples, Italy

    Alfredo Petrosino

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Di Gesù, V. (2002). Symmetry in Computer Vision. In: Cantoni, V., Marinaro, M., Petrosino, A. (eds) Visual Attention Mechanisms. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0111-4_15

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  • DOI: https://doi.org/10.1007/978-1-4615-0111-4_15

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-4928-0

  • Online ISBN: 978-1-4615-0111-4

  • eBook Packages: Springer Book Archive

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