Occlusion, attention and object representations

Neil Taylor, Christo Panchev, Mathew Hartley, Statis Kasderidis, John G. Taylor

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)283-306
Number of pages10
JournalIntegrated Computer-Aided Engineering
Issue number4
Publication statusPublished - 19 Jul 2007
Externally publishedYes


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