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
Demo Data from SIGIR 2026 / reviewers in the wild / expert

Francesco Bonarrigo

dblp:03/9942 · DBLP profile ↗
← Back
3ranked-venue papers
3as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 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.

Artificial intelligence
1 paper
3D vision · 100%
Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › feature matching
correspondence selection		 0.112011
A robust pipeline for rapid feature-based pre-alignment of dense range scans · ICCV 2011
Computer vision › 3D vision
feature matching		 0.112011
A robust pipeline for rapid feature-based pre-alignment of dense range scans · ICCV 2011
Geometric modeling and processing › point cloud processing › range image processing
range image registration		 0.112011
A robust pipeline for rapid feature-based pre-alignment of dense range scans · ICCV 2011
Geometric modeling and processing
shape registration		 0.112011
A robust pipeline for rapid feature-based pre-alignment of dense range scans · ICCV 2011

Methods — techniques the papers use, named apart from their topics

multi-scale feature extraction · 0.2feature description · 0.2correspondence ranking · 0.2
YearPublicationVenuePosition
2014 Deformable registration using patch-wise shape matching
Francesco Bonarrigo, Alberto Signoroni, Mario Botsch
 Graph. Model.1
2014 Global registration of large collections of range images with an improved Optimization-on-a-Manifold approach
Francesco Bonarrigo, Alberto Signoroni
 Image Vis. Comput.1
2011 A robust pipeline for rapid feature-based pre-alignment of dense range scans
abstract
Aiming at reaching an interactive and simplified usage of high-resolution 3D acquisition systems, this paper presents a fast and automated technique for pre-alignment of dense range images. Starting from a multi-scale feature point extraction and description, a processing chain composed by feature matching and correspondence searching, ranking grouping and skimming is performed to select the most reliable correspondences over which the correct alignment is estimated. Pre-alignment is obtained in few seconds per million point images on a off-the-shelf PC architecture. The experimental setup aimed to demonstrate the system behavior with respect to a set of concurrent requirements and the obtained performance are significant in the perspective of a fast, robust and unconstrained 3D object reconstruction.
Francesco Bonarrigo, Alberto Signoroni, Riccardo Leonardi
 ICCV1