Occlusion, attention and object representations

Authors:
Neill R. Taylor;Christo Panchev;Matthew Hartley;Stathis Kasderidis;John G. Taylor
Affiliations:
(Correspd. Tel.: +44 20 7848 1026/ Fax: +44 20 7848 2017) King's College London, Department of Mathematics, The Strand, London, WC2R 2LS, UK. E-mail: {neill.taylor,john.g.taylor}@kcl.ac.uk, mhartl ...;Sunderland University, School of Computing and Technology, St. Peter's Campus, Sunderland SR6 0DD, UK. E-mail: christo.panchev@sunderland.ac.uk;King's College London, Department of Mathematics, The Strand, London, WC2R 2LS, UK. E-mail: {neill.taylor,john.g.taylor}@kcl.ac.uk, mhartley@mth.kcl.ac.uk;Foundation for Research & Technology Hellas, Institute of Computer Science, Vassilika Vouton, 71110 Heraklion, Greece. E-mail: stathis@ics.forth.gr;King's College London, Department of Mathematics, The Strand, London, WC2R 2LS, UK. E-mail: {neill.taylor,john.g.taylor}@kcl.ac.uk, mhartley@mth.kcl.ac.uk
Venue:
Integrated Computer-Aided Engineering - Artificial Neural Networks
Year:
2007

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Abstract

Occlusion is currently at the centre of analysis in machine vision. We present an approach to it that uses attention feedback to an occluded object to obtain its correct recognition. Various simulations are performed using a hierarchical visual attention feedback system, based on contrast gain (which we discuss as to its relation to possible hallucinations that could be caused by feedback). We then discuss implications of our results for object representations per se.