Proceedings Paper
Data-centric method for object observation through scattering media| Format | Member Price | Non-Member Price |
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Paper Abstract
A data-centric method is introduced for object observation through scattering media. A large number of training pairs are used to characterize the relation between the object and the observation signals based on machine learning. Using the method object information can be retrieved even from strongly-disturbed signals. As potential applications, object recognition, imaging, and focusing through scattering media were demonstrated.
Paper Details
Date Published: 5 March 2018
PDF: 6 pages
Proc. SPIE 10714, Third International Conference on Photonics Solutions (ICPS2017), 107140O (5 March 2018); doi: 10.1117/12.2299986
Published in SPIE Proceedings Vol. 10714:
Third International Conference on Photonics Solutions (ICPS2017)
Thawatchai Mayteevarunyoo, Editor(s)
PDF: 6 pages
Proc. SPIE 10714, Third International Conference on Photonics Solutions (ICPS2017), 107140O (5 March 2018); doi: 10.1117/12.2299986
Show Author Affiliations
Jun Tanida, Osaka Univ. (Japan)
Ryoichi Horisaki, Osaka Univ. (Japan)
Published in SPIE Proceedings Vol. 10714:
Third International Conference on Photonics Solutions (ICPS2017)
Thawatchai Mayteevarunyoo, Editor(s)
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