Demo Data from EDBT 2026 / reviewers in the wild / expert
GianMario Besana
dblp:96/700
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
0000-0001-6031-0658ORCID · verified
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 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision › multi-view geometry › geometric uncertainty
critical configurations |
0.1 | 1 | 2007 | Instability of Projective Reconstruction of Dynamic Scenes near Critical Configurations · ICCV 2007 |
Computer vision › 3D vision › 3d scene reconstruction
dynamic scene reconstruction |
0.1 | 1 | 2007 | Instability of Projective Reconstruction of Dynamic Scenes near Critical Configurations · ICCV 2007 |
Computer vision › 3D vision
multi-view geometry |
0.1 | 1 | 2007 | Instability of Projective Reconstruction of Dynamic Scenes near Critical Configurations · ICCV 2007 |
Computer vision › 3D vision › 3d reconstruction
projective reconstruction |
0.1 | 1 | 2007 | Instability of Projective Reconstruction of Dynamic Scenes near Critical Configurations · ICCV 2007 |
Computer vision › 3D vision
structure from motion |
0.0 | 1 | 2007 | Instability of Projective Reconstruction of Dynamic Scenes near Critical Configurations · ICCV 2007 |
Methods — techniques the papers use, named apart from their topics
stratification analysis · 0.1higher-dimensional projection · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Instability of Projective Reconstruction of Dynamic Scenes near Critical ConfigurationsabstractIn the context of multiple view geometry in any dimension, we compute the minimum number of views necessary for projective reconstruction of both the set of cameras and of scenes. Within a unified approach to critical configurations and their loci, the paper focuses on the case of dynamic scenes of multiple bodies traveling along parallel straight-line trajectories with constant velocities, in the framework of higher dimensional projections introduced by Shashua and Wolf. Critical loci in this case are explicitly determined. A stratification of the resulting locus in terms of fixed common velocities is presented and leveraged to show, via a number of simulated experiments, instability of the reconstruction near critical configurations. Marina Bertolini, Cristina Turrini, GianMario Besana |
ICCV | 3 |