Demo Data from VLDB 2026 / reviewers in the wild / expert
Joseph M. Burdis
dblp:74/5047
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-author
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.
| Theoretical computer science
1 paper |
Computational geometry · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational geometry
curve similarity |
0.1 | 1 | 2012 | Object-image correspondence for curves under central and parallel projections · SCG 2012 |
Computational geometry › differential geometry
differential invariant |
0.1 | 1 | 2012 | Object-image correspondence for curves under central and parallel projections · SCG 2012 |
Computational geometry › projective geometry
projective transformation |
0.1 | 1 | 2012 | Object-image correspondence for curves under central and parallel projections · SCG 2012 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Object-image correspondence for curves under central and parallel projectionsabstractWe present a novel algorithm for deciding whether a given planar curve is an image of a given spatial curve, obtained by a central or a parallel projection with unknown parameters. A straightforward approach to this problem consists of setting up a system of conditions on the projection parameters and then checking whether or not this system has a solution. The computational advantage of the algorithm presented here, in comparison to algorithms based on the straightforward approach, lies in a significant reduction of a number of real parameters that need to be eliminated in order to establish existence or non-existence of a projection that maps a given spatial curve to a given planar curve. Our algorithm is based on projection criteria that reduce the projection problem to a certain modification of the equivalence problem of planar curves under affine and projective transformations. The latter problem is then solved using a separating set of rational differential invariants. A similar approach can be used to solve the projection problem for finite lists of points. The motivation comes from the problem of establishing a correspondence between an object and an image, taken by a camera with unknown position and parameters. Joseph M. Burdis, Irina A. Kogan |
SCG | 1 |