Demo Data from SIGIR 2026 / reviewers in the wild / expert
Nobuya Aoki
dblp:24/2443
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 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.
| Computer graphics and multimedia
1 paper |
Computational photography and imaging · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational photography and imaging
camera calibration |
0.1 | 1 | 2007 | Mirror Localization for a Catadioptric Imaging System by Projecting Parallel Lights · ICRA 2007 |
Computational photography and imaging › omnidirectional imaging
catadioptric imaging |
0.1 | 1 | 2007 | Mirror Localization for a Catadioptric Imaging System by Projecting Parallel Lights · ICRA 2007 |
Methods — techniques the papers use, named apart from their topics
parallel light projection · 0.1mirror localization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Mirror Localization for Catadioptric Imaging System by Observing Parallel Light Pairs
Ryusuke Sagawa, Nobuya Aoki, Yasushi Yagi |
ACCV (1) | 2 |
| 2007 | Mirror Localization for a Catadioptric Imaging System by Projecting Parallel LightsabstractThis paper describes a method of mirror localization to calibrate a catadioptric imaging system. Even though the calibration of a catadioptric system includes the estimation of various parameters, in this paper we focus on the localization of the mirror. Since some previously proposed methods assume a single view point system, they have strong restrictions on the position and shape of the mirror. We propose a method that uses parallel lights to simplify the geometry of projection for estimating the position of the mirror, thereby not restricting the position or shape of the mirror. Further, we omit the translation process between the camera and calibration objects from the parameters to be estimated by observing some parallel lights from a different direction. We obtain the constraints on the projection and compute the error between the model of the mirror and the measurements. The position of the mirror is estimated by minimizing the error. We also test our method by simulation and real experiments, and finally we evaluate the accuracy of our method. Ryusuke Sagawa, Nobuya Aoki, Yasuhiro Mukaigawa, Tomio Echigo, Yasushi Yagi |
ICRA | 2 |