Reconstructing shape from shading with a point light source at the projection center: Shape reconstruction from an endoscope image

Takayuki Okatani, Koichiro Deguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

A new method for reconstructing three dimensional object from an endoscope image is presented. The proposed method uses image shading generated by a light source at the endoscope head. In this case, the light source is near to the object surface so that the image brightness depends on not only the surface gradients but also the distance from the light source to the surface point. To deal with this difficulty, we consider the imaging system of the endoscope as the system having a point light source at the projection center. The object surface is reconstructed by propagating equal-distance contours, spatial curves composed of points at an equal distance from the light source. The propagation is controlled by the image shading. We use the level-sets method for numerical computation. Experimental results for real medical images show feasibility of this method.

Original languageEnglish
Title of host publicationTrack A
Subtitle of host publicationComputer Vision
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages830-834
Number of pages5
ISBN (Print)081867282X, 9780818672828
DOIs
Publication statusPublished - 1996 Jan 1
Externally publishedYes
Event13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
Duration: 1996 Aug 251996 Aug 29

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume1
ISSN (Print)1051-4651

Other

Other13th International Conference on Pattern Recognition, ICPR 1996
CountryAustria
CityVienna
Period96/8/2596/8/29

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Okatani, T., & Deguchi, K. (1996). Reconstructing shape from shading with a point light source at the projection center: Shape reconstruction from an endoscope image. In Track A: Computer Vision (pp. 830-834). [546140] (Proceedings - International Conference on Pattern Recognition; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.1996.546140