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Jacopo Iacovacci

dblp:149/2230 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-1430-5062ORCID · reported

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

Artificial intelligence and machine learning · 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.

Artificial intelligence
1 paper
Motion planning and robot control · 100%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › path planning
visibility graph
0.412020
Visibility Graphs for Image Processing · IEEE Trans. Pattern Anal. Mach. Intell. 2020
Multimedia analysis and retrieval
image classification
0.412020
Visibility Graphs for Image Processing · IEEE Trans. Pattern Anal. Mach. Intell. 2020

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

image visibility graphs · 0.9graph feature extraction · 0.9
YearPublicationVenuePosition
2020 Visibility Graphs for Image Processing
abstract
The family of image visibility graphs (IVG/IHVGs) have been recently introduced as simple algorithms by which scalar fields can be mapped into graphs. Here we explore the usefulness of such\an operator in the scenario of image processing and image classification. We demonstrate that the link architecture of the image visibility graphs encapsulates relevant information on the structure of the images and we explore their potential as image filters. We introduce several graph features, including the novel concept of Visibility Patches, and show through several examples that these features are highly informative, computationally efficient and universally applicable for general pattern recognition and image classification tasks.
Jacopo Iacovacci, Lucas Lacasa
IEEE Trans. Pattern Anal. Mach. Intell.1