Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

GianMario Besana

dblp:96/700 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › multi-view geometry › geometric uncertainty
critical configurations
0.112007
Instability of Projective Reconstruction of Dynamic Scenes near Critical Configurations · ICCV 2007
Computer vision › 3D vision › 3d scene reconstruction
dynamic scene reconstruction
0.112007
Instability of Projective Reconstruction of Dynamic Scenes near Critical Configurations · ICCV 2007
Computer vision › 3D vision
multi-view geometry
0.112007
Instability of Projective Reconstruction of Dynamic Scenes near Critical Configurations · ICCV 2007
Computer vision › 3D vision › 3d reconstruction
projective reconstruction
0.112007
Instability of Projective Reconstruction of Dynamic Scenes near Critical Configurations · ICCV 2007
Computer vision › 3D vision
structure from motion
0.012007
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
YearPublicationVenuePosition
2007 Instability of Projective Reconstruction of Dynamic Scenes near Critical Configurations
abstract
In 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
ICCV3