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Optical Flow Computation for Compound Eyes: Variational Analysis of Omni-Directional Views

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Brain, Vision, and Artificial Intelligence (BVAI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3704))

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Abstract

This paper focuses on variational optical flow computation for spherical images. It is said that some insects recognise the world through optical flow observed by their compound eyes, which observe spherical views. Furthermore, images observed through a catadioptric system with a conic mirror and a fish-eye-lens camera are transformed to images on the sphere. Spherical motion field on the spherical retina has some advantages for the ego-motion estimation of autonomous mobile observer. We provide a framework for motion field analysis on the spherical retina using variational method for image analysis.

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Author information

Authors and Affiliations

  1. School of Science and Technology, Chiba University,  

    Akihiko Torii, Hironobu Sugaya & Yoshihiko Mochizuki

  2. Institute of Media and Information Technology, Chiba University, Yayoi-cho 1-33, Inage-ku, Chiba, 263-8522, Japan

    Atsushi Imiya

Authors
  1. Akihiko Torii
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  2. Atsushi Imiya
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  3. Hironobu Sugaya
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  4. Yoshihiko Mochizuki
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Editor information

Editors and Affiliations

  1. Istituto di Cibernetica “Eduardo Caianiello”, CNR, Pozzuoli (NA), Italy

    Massimo De Gregorio

  2. Istituto di Cibernetica “E. Caianiello” del CNR, Via Campi Flegrei, 34, 80078, Pozzuoli (NA), Italy

    Vito Di Maio

  3. Institute of Cybernetics “E. Caianiello”, CNR, Pozzuoli, (Naples), Italy

    Maria Frucci

  4. Istituto di Cibernetica “Eduardo Caianiello”, CNR, Pozzuoli, Italy

    Carlo Musio

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© 2005 Springer-Verlag Berlin Heidelberg

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Torii, A., Imiya, A., Sugaya, H., Mochizuki, Y. (2005). Optical Flow Computation for Compound Eyes: Variational Analysis of Omni-Directional Views. In: De Gregorio, M., Di Maio, V., Frucci, M., Musio, C. (eds) Brain, Vision, and Artificial Intelligence. BVAI 2005. Lecture Notes in Computer Science, vol 3704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11565123_51

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  • DOI: https://doi.org/10.1007/11565123_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29282-1

  • Online ISBN: 978-3-540-32029-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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