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EPI Analysis of Fish-Eye Images

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Intelligent Autonomous Systems 12

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 193))

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Abstract

This paper proposes a method to get depth information from image sequences obtained from a moving fish-eye camera. The motion is assumed to be along the optical axis of the fish-eye camera. In this case, a point on a fish-eye image moves to radial direction. This is one of the epipolar constraints that are very effective to find corresponding points in an image sequences. Epipolar-plane image (EPI) is an image having epipolar constraint in a volume of accumulating an image sequence. The gradient of a curve on EPI has depth information of the corresponding measuring point. Measurement accuracy of the proposed method is examined over a wide-angle range.

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Author information

Authors and Affiliations

  1. Shizuoka University, 3-5-1 Johoku, Naka-ku, Hamamatsu-shi, Shizuoka, 432-8561, Japan

    Kenji Terabayashi & Takaaki Oiwa

  2. Sony Corporation, 2-15-3 Konan, Minato-ku, Tokyo, 108-6201, Japan

    Toru Morita

  3. Chuo University, 1-13-27 Kasuga, Bunkyo-ku, Tokyo, 112-8551, Japan

    Hiroya Okamoto & Kazunori Umeda

Authors
  1. Kenji Terabayashi
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  2. Toru Morita
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  3. Hiroya Okamoto
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  4. Takaaki Oiwa
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  5. Kazunori Umeda
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Corresponding author

Correspondence to Kenji Terabayashi .

Editor information

Editors and Affiliations

  1. , School of Information and Communication, Sungkyunkwan University, 300 Chunchun-Dong Jangan-Ku, Kyunggi-Do, 440-746, Korea, Republic of (South Korea)

    Sukhan Lee

  2. Science and Technology, Daegu Gyeongbuk Institute of, 50-1, Sang-Ri, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 711-873, Korea, Republic of (South Korea)

    Hyungsuck Cho

  3. Konkuk University, Neungdong-ro, Gwangjin-gu 120, Seoul, 143-701, Korea, Republic of (South Korea)

    Kwang-Joon Yoon

  4. , Department of Electronics Engineering, Pusan National University, Geum Jeong-ku, Pusan, 609-735, Korea, Republic of (South Korea)

    Jangmyung Lee

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Terabayashi, K., Morita, T., Okamoto, H., Oiwa, T., Umeda, K. (2013). EPI Analysis of Fish-Eye Images. In: Lee, S., Cho, H., Yoon, KJ., Lee, J. (eds) Intelligent Autonomous Systems 12. Advances in Intelligent Systems and Computing, vol 193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33926-4_34

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  • DOI: https://doi.org/10.1007/978-3-642-33926-4_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33925-7

  • Online ISBN: 978-3-642-33926-4

  • eBook Packages: EngineeringEngineering (R0)

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