Demo Data from SIGIR 2026 / reviewers in the wild / expert
Takeshi Toujo
dblp:268/6911
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Motion planning and robot control · 67% Robot navigation and mapping · 33% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping
image stabilization |
0.1 | 1 | 2008 | Image Stabilization for In Vivo Microscopy by High-Speed Visual Feedback Control · IEEE Trans. Robotics 2008 |
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2008 | Image Stabilization for In Vivo Microscopy by High-Speed Visual Feedback Control · IEEE Trans. Robotics 2008 |
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing |
0.1 | 1 | 2008 | Image Stabilization for In Vivo Microscopy by High-Speed Visual Feedback Control · IEEE Trans. Robotics 2008 |
Medical and health informatics
medical imaging |
0.0 | 1 | 2008 | Image Stabilization for In Vivo Microscopy by High-Speed Visual Feedback Control · IEEE Trans. Robotics 2008 |
Methods — techniques the papers use, named apart from their topics
high-speed visual feedback control · 0.2five-bar linkage · 0.2piezoelectric actuators · 0.1piezoelectric actuator · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Image Stabilization for In Vivo Microscopy by High-Speed Visual Feedback ControlabstractThis paper presents image stabilization for microscopy using horizontal visual feedback control of the objective lens through a five-bar linkage and piezoelectric actuators, and its application to in vivo imaging. Even very small in vivo motion due to heartbeat and breathing makes microscopic observation difficult by blurring the microscope image or impossible by sending a region of interest out of view. In order to remove those unwanted effects of the motion, we have introduced motion-canceling robotic technologies into microscopy. Our image stabilization system through motion-canceling provides users with stabilized image sequences with respect to trembling of in vivo subjects. The developed image stabilization system, in term of robotics, corresponds to a visual feedback control system that consists of a robotic mechanism and a high-speed vision. A high-speed camera installed in the microscope detects the motion of the in vivo subject having topically applied fiducials. To virtually cancel this motion, we move the objective lens, synchronizing the motions of the subject and the lens to remove the relative motion between the two. As a result, we observe motion-free images to m. This technology is one of the very demanding technologies in biological research for in vivo observation with high resolution. In this paper, we verify the effectiveness of the developed system through in vivo experiments. Sungon Lee, Yoshihiko Nakamura, Katsu Yamane, Takeshi Toujo, Seiya Takahashi, Yoshihisa Tanikawa, Hajime Takahashi |
IEEE Trans. Robotics | 4 |