If you made any changes in Pure these will be visible here soon.

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

  • 11 Similar Profiles
Cameras Engineering & Materials Science
Augmented reality Engineering & Materials Science
Textures Engineering & Materials Science
Geographic information systems Engineering & Materials Science
Image retrieval Engineering & Materials Science
cameras Physics & Astronomy
Pixels Engineering & Materials Science
Face recognition Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2006 2019

  • 369 Citations
  • 9 h-Index
  • 47 Conference contribution
  • 15 Article
  • 1 Conference article
  • 1 Review article

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

Fall detection using optical level anonymous image sensing system

Ma, C., Shimada, A., Uchiyama, H., Nagahara, H. & Taniguchi, R-I., Feb 1 2019, In : Optics and Laser Technology. 110, p. 44-61 18 p.

Research output: Contribution to journalArticle

privacy
Neural networks
Cameras
surveillance
Computer vision
1 Citation (Scopus)

Indoor positioning system based on chest-mounted IMU

Lu, C., Uchiyama, H., Thomas, D. G. F., Shimada, A. & Taniguchi, R-I., Jan 2 2019, In : Sensors (Switzerland). 19, 2, 420.

Research output: Contribution to journalArticle

Units of measurement
dead reckoning
chest
positioning
Thorax

Plant growth prediction using convolutional LSTM

Sakurai, S., Uchiyama, H., Shimada, A. & Taniguchi, R-I., Jan 1 2019, VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Kerren, A., Hurter, C. & Braz, J. (eds.). SciTePress, p. 105-113 9 p. (VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; vol. 5).

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

Neural networks

RGB-D SLAM based incremental cuboid modeling

Mishima, M., Uchiyama, H., Thomas, D. G. F., Taniguchi, R-I., Roberto, R., Lima, J. P. & Teichrieb, V., Jan 1 2019, Computer Vision – ECCV 2018 Workshops, Proceedings. Leal-Taixé, L. & Roth, S. (eds.). Springer Verlag, p. 414-429 16 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

Cuboid
Simultaneous Localization and Mapping
Augmented reality
Modeling
Augmented Reality