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Fingerprint Dive into the research topics where Hiroshi Kawasaki is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 20 Similar Profiles
Cameras Engineering & Materials Science
Scanning Engineering & Materials Science
Calibration Engineering & Materials Science
Textures Engineering & Materials Science
Endoscopy Engineering & Materials Science
Decoding Engineering & Materials Science
Color Engineering & Materials Science
Projector Mathematics

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Research Output 1999 2019

A Coded Aperture for Watermark Extraction from Defocused Images

Hamasaki, H., Takeshita, S., Nakai, K., Sonoda, T., Kawasaki, H., Nagahara, H. & Ono, S., Jan 1 2019, Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Mori, G., Li, H., Jawahar, C. V. & Schindler, K. (eds.). Springer Verlag, p. 231-246 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11366 LNCS).

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

Smartphones
Watermark
Aberrations
Lenses
Genetic algorithms

CNN based dense underwater 3D scene reconstruction by transfer learning using bubble database

Ichimaru, K., Furukawa, R. & Kawasaki, H., Mar 4 2019, Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019. Institute of Electrical and Electronics Engineers Inc., p. 1543-1552 10 p. 8659224. (Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019).

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

Light refraction
Sports
Fish
Textures
Cameras

Learning-based active 3D measurement technique using light field created by video projectors

Shiba, Y., Ono, S., Furukawa, R., Hiura, S. & Kawasaki, H., Dec 1 2019, In : IPSJ Transactions on Computer Vision and Applications. 11, 1, 6.

Research output: Contribution to journalArticle

Open Access
Computer graphics
Principal component analysis
Feature extraction
Cameras
Calibration

Robust structured light system against subsurface scattering effects achieved by CNN-based pattern detection and decoding algorithm

Furukawa, R., Miyazaki, D., Baba, M., Hiura, S. & Kawasaki, H., Jan 1 2019, Computer Vision – ECCV 2018 Workshops, Proceedings. Leal-Taixé, L. & Roth, S. (eds.). Springer Verlag, p. 372-386 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11129 LNCS).

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

Structured Light
Decoding
Scattering
Scanning
Line Detection

Single-wavelength and multi-parallel dotted- A nd solid-lines for dense and robust active 3D reconstruction

Nagamatsu, G., Furukawa, R., Sagawa, R. & Kawasaki, H., May 1 2019, Proceedings of the 16th International Conference on Machine Vision Applications, MVA 2019. Institute of Electrical and Electronics Engineers Inc., 8758011. (Proceedings of the 16th International Conference on Machine Vision Applications, MVA 2019).

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

Surface scattering
Computer vision
Calibration
Neural networks
Wavelength