Fingerprint Dive into the research topics where Practical Data Science is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Cameras Engineering & Materials Science
Blood vessels Engineering & Materials Science
Microscopic examination Engineering & Materials Science
Cellular neural networks Engineering & Materials Science
Simultaneous Localization and Mapping Mathematics
Supervised learning Engineering & Materials Science
Augmented reality Engineering & Materials Science
Microscopy Mathematics

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Research Output 2002 2019

3D Body and Background Reconstruction in a Large-scale Indoor Scene using Multiple Depth Cameras

Kobayashi, D., Thomas, D. G. F., Uchiyama, H. & Taniguchi, R-I., May 7 2019, Proceedings of the 2019 12th Asia Pacific Workshop on Mixed and Augmented Reality, APMAR 2019. Weng, D., Chan, L., Lee, Y., Liang, X. & Sakata, N. (eds.). Institute of Electrical and Electronics Engineers Inc., 8709280. (Proceedings of the 2019 12th Asia Pacific Workshop on Mixed and Augmented Reality, APMAR 2019).

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

Human Body
reconstruction
Cameras
human being
Skeleton

3D positioning system based on one-handed thumb interactions for 3d annotation placement

Tashiro, S., Uchiyama, H., Thomas, D. G. F. & Taniguchi, R-I., Mar 1 2019, 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1181-1182 2 p. 8797979. (26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings).

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

Pixels
Touch screens

Cell tracking with deep learning for cell detection and motion estimation in low-frame-rate

Hayashida, J. & Bise, R., Jan 1 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, p. 397-405 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11764 LNCS).

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

Motion Estimation
Motion estimation
Cell
Throughput
Experiments