Demo Data from VLDB 2026 / reviewers in the wild / expert
Yukihito Furuhashi
dblp:09/1987
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2Artificial intelligence and machine learning · 1Applied, 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 |
3D vision · 77% Video understanding and tracking · 12% Probabilistic and Bayesian machine learning · 12% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
camera pose estimation |
0.0 | 1 | 2000 | Augmented Reality System for Surgical Navigation Using Robust Target Vision · CVPR 2000 |
Computer vision › 3D vision › pose estimation › correspondence-based pose estimation
marker-based pose estimation |
0.0 | 1 | 2000 | Augmented Reality System for Surgical Navigation Using Robust Target Vision · CVPR 2000 |
Virtual and augmented reality
augmented reality |
0.0 | 1 | 2000 | Augmented Reality System for Surgical Navigation Using Robust Target Vision · CVPR 2000 |
Virtual and augmented reality › navigation
surgical navigation |
0.0 | 1 | 2000 | Augmented Reality System for Surgical Navigation Using Robust Target Vision · CVPR 2000 |
Machine learning › Probabilistic and Bayesian machine learning › statistical inference › bayesian inference › bayesian filtering
kalman filtering |
0.0 | 1 | 2000 | Augmented Reality System for Surgical Navigation Using Robust Target Vision · CVPR 2000 |
Computer vision › Video understanding and tracking
object tracking |
0.0 | 1 | 2000 | Augmented Reality System for Surgical Navigation Using Robust Target Vision · CVPR 2000 |
Methods — techniques the papers use, named apart from their topics
monocular vision · 0.1kalman filter · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Augmented Reality System for Surgical Navigation Using Robust Target VisionabstractThis paper presents a robust and accurate vision-based augmented reality system for surgical navigation. The key point of our system is a robust and real-time monocular vision algorithm to estimate the 3D pose of surgical tools, utilizing specially designed code markers and Kalman filter-based position updating. The vision system is not impaired by occlusion and rapid change of illumination. The augmented reality system superimposes the 3D object wireframe onto the live viewing image taken from the surgical microscope as well as displaying other useful navigation information, while allowing the surgeons to freely change its zoom and focus for viewing. The experimental results verified the robustness and usefulness of the system, and acquired the image registration error less than 2 mm. Akio Kosaka, Akito Saito, Yukihito Furuhashi, Takao Shibasaki |
CVPR | 3 |
| 2000 | AR Navigation System for Neurosurgery
Yuichiro Akatsuka, Takakazu Kawamata, Masakazu Fujii, Yukihito Furuhashi, Akito Saito, Takao Shibasaki, Hiroshi Iseki, Tomokatsu Hori |
MICCAI | 4 |