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International Conference on Computer Vision, Imaging and Computer Graphics

VISIGRAPP 2013: Computer Vision, Imaging and Computer Graphics -- Theory and Applications pp 228–243Cite as

Shape from Motion Blur Caused by Random Camera Rotations Imitating Fixational Eye Movements

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 458))

Abstract

Small involuntary vibrations of the human eyeball called “fixational eye movements” play a role in image analysis, such as for contrast enhancement and edge detection. This mechanism can be interpreted as stochastic resonance by biological processes, in particular, by neuron dynamics. We propose two algorithms that use the motion blur caused by many small random camera motions to recover the depth from a camera to a target object. The first is a two-step recovery method that detects the motion blur of an image and then analyzes it to determine the depth. The second method directly recovers the depth without explicitly detecting the motion blur, and it is expected to be highly accurate. From the view point of a computational optimality, in this study we evaluate the performance of the second method called direct method through numerical simulations using artificial images.

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Author information

Authors and Affiliations

  1. Graduate School of System Design, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino-shi, Tokyo, Japan

    Norio Tagawa

Authors
  1. Norio Tagawa
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Correspondence to Norio Tagawa .

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Editors and Affiliations

  1. Università di Catania, Catania, Catania, Italy

    Sebastiano Battiato

  2. Inria/ZIRST, Saint Ismier, France

    Sabine Coquillart

  3. Swansea University, Swansea, United Kingdom

    Robert S. Laramee

  4. Linnaeus University, Växjö, Sweden

    Andreas Kerren

  5. Escola Superior de Tecnologia do IPS, Setúbal, Portugal

    José Braz

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© 2014 Springer-Verlag Berlin Heidelberg

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Tagawa, N. (2014). Shape from Motion Blur Caused by Random Camera Rotations Imitating Fixational Eye Movements. In: Battiato, S., Coquillart, S., Laramee, R., Kerren, A., Braz, J. (eds) Computer Vision, Imaging and Computer Graphics -- Theory and Applications. VISIGRAPP 2013. Communications in Computer and Information Science, vol 458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44911-0_15

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  • DOI: https://doi.org/10.1007/978-3-662-44911-0_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44910-3

  • Online ISBN: 978-3-662-44911-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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