Iterative refinement of range images with anisotropic error distribution

Ryusuke Sagawa, Takeshi Oishi, Atsushi Nakazawa, Ryo Kurazume, Katsushi Ikeuchi

研究成果: Contribution to conferencePaper

16 引用 (Scopus)

抜粋

We propose a method which refines the range measurement of range finders by computing correspondences of vertices of multiple range images acquired from various viewpoints. Our method assumes that a range image acquired by a laser range finder has anisotropic error distribution which is parallel to the ray direction. Thus, we find corresponding points of range images along with the ray direction. We iteratively converge range images to minimize the distance of corresponding points. We demonstrate the effectiveness of our method by presenting the experimental results of artificial and real range data. Also we show that our method refines a 3D shape more accurately as opposed to that achieved by using the Gaussian filter.

元の言語英語
ページ79-85
ページ数7
出版物ステータス出版済み - 1 1 2002
イベント2002 IEEE/RSJ International Conference on Intelligent Robots and Systems - Lausanne, スイス
継続期間: 9 30 200210 4 2002

その他

その他2002 IEEE/RSJ International Conference on Intelligent Robots and Systems
スイス
Lausanne
期間9/30/0210/4/02

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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  • これを引用

    Sagawa, R., Oishi, T., Nakazawa, A., Kurazume, R., & Ikeuchi, K. (2002). Iterative refinement of range images with anisotropic error distribution. 79-85. 論文発表場所 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, スイス.