Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jon C. Henderson
dblp:43/9966
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 |
Robot navigation and mapping · 50% 3D vision · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision › 3d reconstruction
textured 3d reconstruction |
0.1 | 1 | 2011 | Reconstructing pavlopetri: Mapping the world's oldest submerged town using stereo-vision · ICRA 2011 |
Robotics › Robot navigation and mapping › robot mapping
underwater mapping |
0.1 | 1 | 2011 | Reconstructing pavlopetri: Mapping the world's oldest submerged town using stereo-vision · ICRA 2011 |
Methods — techniques the papers use, named apart from their topics
stereo vision · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Reconstructing pavlopetri: Mapping the world's oldest submerged town using stereo-visionabstractThis paper presents a vision-based underwater mapping system, which is demonstrated in an archaeological survey of the submerged ancient town of Pavlopetri. The snorkeler or diver operated system provides a low cost alternative to the use of an AUV or ROV in shallow waters. The system produces textured three-dimensional models, which contain significantly more information than traditional archaeological survey methods. The photo-realistic maps that are produced allow further archaeological research to be performed, without diving on a site during the restrictive time limitations of permits and field seasons. The hardware and software components of the mapping system and its method of operation are described, and initial results are presented and discussed. Ian Mahon, Oscar Pizarro, Matthew Johnson-Roberson, Ariell Friedman, Stefan B. Williams, Jon C. Henderson |
ICRA | 6 |