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Biomedical Application

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Active Lighting and Its Application for Computer Vision

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

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Abstract

For medical diagnoses and treatments, basic and clear information, including heart rate, blood pressure, X-ray imagery, etc., of a subject is essential. Thus, a huge amount of sensing technologies have been researched, developed, and commercialized. Among the wide variety of available sensors (e.g., electromagnetic (i.e., MRI), radiation- based (i.e., X-ray), and ultrasound), active-lighting-based techniques have recently drawn a great deal of attention because of their noninvasive methods and simple configurations. In this chapter, a 3D endoscope system using structured light and a noncontact heartbeat detection system is described.

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Author information

Authors and Affiliations

  1. Applied Robotics Research, Microsoft Corporation, Redmond, WA, USA

    Katsushi Ikeuchi

  2. Graduate School of Information Science and Technology, Osaka University, Osaka, Japan

    Yasuyuki Matsushita

  3. Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan

    Ryusuke Sagawa

  4. Department of Advanced Information Technology, Kyushu University, Fukuoka, Japan

    Hiroshi Kawasaki

  5. Division of Information Science, Nara Institute of Science and Technology, Nara, Japan

    Yasuhiro Mukaigawa

  6. Faculty of Information Sciences, Hiroshima City University, Hiroshima, Japan

    Ryo Furukawa

  7. Department of Intelligent Systems, Hiroshima City University, Hiroshima, Japan

    Daisuke Miyazaki

Authors
  1. Katsushi Ikeuchi
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  2. Yasuyuki Matsushita
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  3. Ryusuke Sagawa
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  4. Hiroshi Kawasaki
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  5. Yasuhiro Mukaigawa
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  6. Ryo Furukawa
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  7. Daisuke Miyazaki
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Corresponding author

Correspondence to Katsushi Ikeuchi .

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Ikeuchi, K. et al. (2020). Biomedical Application. In: Active Lighting and Its Application for Computer Vision. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-030-56577-0_10

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  • DOI: https://doi.org/10.1007/978-3-030-56577-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-56576-3

  • Online ISBN: 978-3-030-56577-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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