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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Object recognition Engineering & Materials Science
Processing Engineering & Materials Science
Object Recognition Mathematics
Point Cloud Mathematics
Range finders Engineering & Materials Science
3D Object Recognition Mathematics
Pixels Engineering & Materials Science
Computer graphics Engineering & Materials Science

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Research Output 1997 2018

  • 23 Citations
  • 2 h-Index
  • 15 Article
  • 11 Conference contribution
  • 1 Review article

Accuracy improvement of functional attribute recognition by dense CRF considering object shape

Iizuka, M., Akizuki, S. & Hashimoto, M., 2018 Jan 1, In : IEEJ Transactions on Electronics, Information and Systems. 138, 9, p. 1088-1093 6 p.

Research output: Contribution to journalArticle

Processing
Pixels
Robots
Costs
Experiments

Integration method of local evidence for part-affordance estimation of everyday objects

Akizuki, S., Iizuka, M., Kozai, K. & Hashimoto, M., 2018 Jan 1, In : Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering. 84, 7, p. 658-663 6 p.

Research output: Contribution to journalArticle

Surface structure
Robots
Sensors
Experiments

Pose alignment for different objects using affordance cues

Akizuki, S. & Aoki, Y., 2018 May 30, 2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., p. 1-3 3 p.

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

1 Citations

A brief review of affordance in robotic manipulation research

Yamanobe, N., Wan, W., Ramirez-Alpizar, I. G., Petit, D., Tsuji, T., Akizuki, S., Hashimoto, M., Nagata, K. & Harada, K., 2017 Oct 18, In : Advanced Robotics. 31, 19-20, p. 1086-1101 16 p.

Research output: Contribution to journalArticle

Robotics
Object recognition

Affordance-based 3D feature for generic object recognition

Iizuka, M., Akizuki, S. & Hashimoto, M., 2017, Thirteenth International Conference on Quality Control by Artificial Vision 2017. SPIE, Vol. 10338. 103380P

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

Affordances
Object recognition
Object Recognition
estimating
target recognition