Iterative refinement of range images with anisotropic error distribution

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

研究成果: 著書/レポートタイプへの貢献

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 describe the effectiveness of our method by the 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
ホスト出版物のタイトルDigitally Archiving Cultural Objects
出版者Springer US
ページ193-205
ページ数13
ISBN(印刷物)9780387758060
DOI
出版物ステータス出版済み - 12 1 2008
外部発表Yes

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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  • これを引用

    Sagawa, R., Oishi, T., Nakazawa, A., Kurazume, R., & Ikeuchi, K. (2008). Iterative refinement of range images with anisotropic error distribution. : Digitally Archiving Cultural Objects (pp. 193-205). Springer US. https://doi.org/10.1007/978-0-387-75807_11