3D shape reconstruction endoscope using shape from focus

T. Takeshita, Y. Nakajima, M. K. Kim, S. Onogi, M. Mitsuishi, Y. Matsumoto

研究成果: 著書/レポートタイプへの貢献会議での発言

5 引用 (Scopus)

抄録

In this paper, we propose three-dimensional (3-D) shape reconstruction endoscope using shape from focus/defocus (SFF/SFD). 3-D shape measurement that uses the endoscope image sequence can measure both the shape and the texture at the same time. It has some advantages such as the analysis of lesion location that integrates the analysis of shape and texture. And the shape and the texture from the endoscope can be recorded quantitatively. To obtain 3-D information, shape measurement methods using stereo cameras is often used. But in case of narrow space, 3-D reconstruction using focus information such as SFF/SFD is more appropriate in terms of apparatus size. Therefore, we apply SFF method to endoscope for shape reconstruction, and conducted two basic experiments to confirm the possibility of the system using general camera as a first step. First, to estimate the accuracy of shape measurement of the system, shape measurement of the objects that the shape is already-known was conducted. And the error of the system was calculated about 1 to 5 mm. Next, to confirm the possibility to measure biological inner wall, the measurement of inner wall of the pig stomach was conducted, and the shape was reconstructed.

元の言語英語
ホスト出版物のタイトルVISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications
ページ411-416
ページ数6
出版物ステータス出版済み - 10 12 2009
イベント4th International Conference on Computer Vision Theory and Applications, VISAPP 2009 - Lisboa, ポルトガル
継続期間: 2 5 20092 8 2009

出版物シリーズ

名前VISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications
1

その他

その他4th International Conference on Computer Vision Theory and Applications, VISAPP 2009
ポルトガル
Lisboa
期間2/5/092/8/09

Fingerprint

Endoscopy
Textures
Cameras
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

これを引用

Takeshita, T., Nakajima, Y., Kim, M. K., Onogi, S., Mitsuishi, M., & Matsumoto, Y. (2009). 3D shape reconstruction endoscope using shape from focus. : VISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications (pp. 411-416). (VISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications; 巻数 1).

3D shape reconstruction endoscope using shape from focus. / Takeshita, T.; Nakajima, Y.; Kim, M. K.; Onogi, S.; Mitsuishi, M.; Matsumoto, Y.

VISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications. 2009. p. 411-416 (VISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications; 巻 1).

研究成果: 著書/レポートタイプへの貢献会議での発言

Takeshita, T, Nakajima, Y, Kim, MK, Onogi, S, Mitsuishi, M & Matsumoto, Y 2009, 3D shape reconstruction endoscope using shape from focus. : VISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications. VISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications, 巻. 1, pp. 411-416, 4th International Conference on Computer Vision Theory and Applications, VISAPP 2009, Lisboa, ポルトガル, 2/5/09.
Takeshita T, Nakajima Y, Kim MK, Onogi S, Mitsuishi M, Matsumoto Y. 3D shape reconstruction endoscope using shape from focus. : VISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications. 2009. p. 411-416. (VISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications).
Takeshita, T. ; Nakajima, Y. ; Kim, M. K. ; Onogi, S. ; Mitsuishi, M. ; Matsumoto, Y. / 3D shape reconstruction endoscope using shape from focus. VISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications. 2009. pp. 411-416 (VISAPP 2009 - Proceedings of the 4th International Conference on Computer Vision Theory and Applications).
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