Scattering tomography using ellipsoidal mirror

Ryuichi Akashi, Hajime Nagahara, Yasuhiro Mukaigawa, Rin Ichiro Taniguchi

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

3 Citations (Scopus)

Abstract

Optical tomography provides visual images of the interior of objects. There are various methods depending on how the material behaves under scattering. If scattering is weak, one approach extracts the scattering amplitudes from the inputed projected images and estimates a cross-sectional image from images without scattering. Conversely, if the scattering is strong, an approach is to use the scattering amplitude to estimate the cross-sectional image. In this situation, light paths are scattered and a large field of view is required to observe all of the scattered light from which to construct the image. In this paper, we propose a method based on computed tomography which employs wrap-around viewing. We implement a projector-camera system that can send and then with an ellipsoidal mirror receive light scattered from an object from all fields of view. In addition, this system with mirror does not need any mechanical motion to capture scattered light during scanning.

Original languageEnglish
Title of host publication2015 Frontiers of Computer Vision, FCV 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479917204
DOIs
Publication statusPublished - May 7 2015
Event2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2015 - Mokpo, Korea, Republic of
Duration: Jan 28 2015Jan 30 2015

Publication series

Name2015 Frontiers of Computer Vision, FCV 2015

Other

Other2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2015
CountryKorea, Republic of
CityMokpo
Period1/28/151/30/15

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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    Akashi, R., Nagahara, H., Mukaigawa, Y., & Taniguchi, R. I. (2015). Scattering tomography using ellipsoidal mirror. In 2015 Frontiers of Computer Vision, FCV 2015 [7103702] (2015 Frontiers of Computer Vision, FCV 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FCV.2015.7103702