loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: J. M. F. Rodrigues and J. M. H. du Buf

Affiliation: University of the Algarve (ISE and FCT), Portugal

Keyword(s): Scene categorisation, Gist vision, Multiscale representation, Visual cortex.

Abstract: Human observers can very rapidly and accurately categorise scenes. This is context or gist vision. In this paper we present a biologically plausible scheme for gist vision which can be integrated into a complete cortical vision architecture. The model is strictly bottom-up, employing state-of-the-art models for feature extractions. It combines five cortical feature sets: multiscale lines and edges and their dominant orientations, the density of multiscale keypoints, the number of consistent multiscale regions, dominant colours in the double-opponent colour channels, and significant saliency in covert attention regions. These feature sets are processed in a hierarchical set of layers with grouping cells, which serve to characterise five image regions: left, right, top, bottom and centre. Final scene classification is obtained by a trained decision tree.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.139.239.157

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
M. F. Rodrigues, J. and M. H. du Buf, J. (2011). A CORTICAL FRAMEWORK FOR SCENE CATEGORISATION. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP; ISBN 978-989-8425-47-8; ISSN 2184-4321, SciTePress, pages 364-371. DOI: 10.5220/0003368603640371

@conference{visapp11,
author={J. {M. F. Rodrigues}. and J. {M. H. du Buf}.},
title={A CORTICAL FRAMEWORK FOR SCENE CATEGORISATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP},
year={2011},
pages={364-371},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003368603640371},
isbn={978-989-8425-47-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP
TI - A CORTICAL FRAMEWORK FOR SCENE CATEGORISATION
SN - 978-989-8425-47-8
IS - 2184-4321
AU - M. F. Rodrigues, J.
AU - M. H. du Buf, J.
PY - 2011
SP - 364
EP - 371
DO - 10.5220/0003368603640371
PB - SciTePress