Detecting Focal Regions using Superpixels

Richard Lowe, Mark Nixon

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 Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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