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Appearance-based parameter optimization for accurate stereo camera calibration

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Abstract

This paper proposes a method of camera calibration that compares the appearance of two images. Unlike conventional methods that evaluate point-to-point correspondences, ours makes a dense evaluation of the correspondence between two images. This enables us to robustly and efficiently calibrate range finders that are camera based. We explain the main principles and algorithm underlying our method, and we also present the results obtained from simulations and experimentally obtained data.

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Authors and Affiliations

  1. Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Nara, 630-0192, Japan

    Hitoshi Habe

  2. Miyakoda Plant R&D Center, Roland DG Corporation, 1-1-3, Shin-Miyakoda, Kita-ku, Hamamatsu, Shizuoka, 431-2103, Japan

    Yasutoshi Nakamura

Authors
  1. Hitoshi Habe
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  2. Yasutoshi Nakamura
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Correspondence to Hitoshi Habe.

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Habe, H., Nakamura, Y. Appearance-based parameter optimization for accurate stereo camera calibration. Machine Vision and Applications 23, 313–325 (2012). https://doi.org/10.1007/s00138-011-0333-0

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  • DOI: https://doi.org/10.1007/s00138-011-0333-0

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