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Cited by 38,662

The DOI matches its Crossref record.

Lecture Notes in Computer Science 1205

·1999·Industrial Robot: An International Journal
DOI 10.1108/ir.1999.04926fae.001
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Abstract

Multiscale feature extraction from the visual environment in an active vision system Y.Machrouh 1, J.-S.Liénard 1, P.Tarroux 1, 2 Abstract. This paper presents a visual architecture able to identify salient regions in a visual scene and to use them to focus on interesting locations. It is inspired by the ability of natural vision systems to perform a differential processing of spatial frequencies both in time and space and to focus their attention on a very local part of the visual scene. The present paper analyzes how this differential processing of spatial frequencies is able to provide an artificial system with the information required to perform an exploration of its visual world based on a center-surround distinction of the external scene. It shows how the salient locations can be gathered on the basis of their similarities to form a high level representation of the visual scene.

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Crossref · 10.1108/ir.1999.04926fae.001

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Items 101–196 of 196

Metadata

Venue
Industrial Robot: An International Journal
Publisher
Emerald
Published
1999-08-01
Volume
26
Issue
6
ISSN
0143-991X (ISSN-L)
DOI
10.1108/ir.1999.04926fae.001
OpenAlex
W2561675875
Cited by
38,662
References
0
FWCI
626.26
Type
journal article
Language
en
Open access
closed
Licence
www.emerald.com/insight/site-policies (tdm)

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.