Demo Data from SIGIR 2026 / reviewers in the wild / expert
Tom Chang
dblp:37/7213
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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.
| Artificial intelligence
1 paper |
3D vision · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
camera calibration |
0.0 | 1 | 1992 | Stereo from uncalibrated cameras · CVPR 1992 |
Computer vision › 3D vision
structure from motion |
0.0 | 1 | 1992 | Stereo from uncalibrated cameras · CVPR 1992 |
Computer vision › 3D vision
multi-view geometry |
0.0 | 1 | 1992 | Stereo from uncalibrated cameras · CVPR 1992 |
Computer vision › 3D vision › multi-view geometry › geometric invariants
projective invariants |
0.0 | 1 | 1992 | Stereo from uncalibrated cameras · CVPR 1992 |
Methods — techniques the papers use, named apart from their topics
linear non-iterative method · 0.0ground control points · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Stereo from uncalibrated camerasabstractThe problem of computing placement of points in 3-D space, given two uncalibrated perspective views, is considered. The main theorem shows that the placement of the points is determined only up to an arbitrary projective transformation of 3-space. Given additional ground control points, however, the location of the points and the camera parameters may be determined. The method is linear and noniterative, whereas previously known methods for solving the camera calibration and placement problem to take proper account of both ground-control points and image correspondences are unsatisfactory in requiring either iterative methods or model restrictions. As a result of the main theorem, it is possible to determine projective invariants of 3-D geometric configurations from two perspective views.> Richard I. Hartley, Rajiv Gupta 0002, Tom Chang |
CVPR | 3 |