Citation

Vincent BT, Troscianko T, Gilchrist ID. Vision Res. 2007; 47(13): 1809-1820.

Affiliation

Department of Experimental Psychology, University of Bristol, 12A Priory Road, Bristol BS8 1TU, UK. ben.vincent@bristol.ac.uk

Copyright

(Copyright © 2007, Elsevier Publishing)

DOI

10.1016/j.visres.2007.02.014

PMID

17466357

Abstract

Weighted salience models are a popular framework for image-driven visual attentional processes. These models operate by: sampling the visual environment; calculating feature maps; combining them in a weighted sum and using this to determine where the eye will fixate next. We examine these stages in turn. We find that a biologically plausible non-uniform retinal sampling causes feature coding unreliability. The linear weighted sum operation seems an adequate model if statistical feature dimension dependencies are considered. Using signal detection theory we find good discrimination between targets and non-targets in the weighted sum, but the fixation criterion of 'peak salience' is suboptimal.

Language: en