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Authors: Richard Lowe and Mark Nixon

Affiliation: University of Southampton, United Kingdom

ISBN: 978-989-8565-47-1

Keyword(s): Superpixel, Focus Region, Light Field.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: We introduce a new method that can automatically determine regions of focus within an image. The focus is determined by generating Content-Driven Superpixels and subsequently exploiting consistency properties of scale-space. These superpixels can be analysed to produce the focal image regions. In our new analysis, Light-Field Photography provides an efficient method to test our algorithm in a controlled manner. An image taken with a light-field camera can be viewed from different perspectives and focal planes, and so by manually modifying the focal plane we can determine if the extracted focal areas are correctly extracted. We show improved results of our new approach compared with some prior techniques and demonstrate the advantages that our new approach can accrue.

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Paper citation in several formats:
Lowe, R. and Nixon, M. (2013). Detecting Focal Regions using Superpixels.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 264-270. DOI: 10.5220/0004212102640270

@conference{visapp13,
author={Richard Lowe. and Mark Nixon.},
title={Detecting Focal Regions using Superpixels},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={264-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004212102640270},
isbn={978-989-8565-47-1},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Detecting Focal Regions using Superpixels
SN - 978-989-8565-47-1
AU - Lowe, R.
AU - Nixon, M.
PY - 2013
SP - 264
EP - 270
DO - 10.5220/0004212102640270

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