Modelling peripheral pre-attention and foveal fixation for search directed machine vision systems

Luckman, Adrian and Allinson, Nigel (1989) Modelling peripheral pre-attention and foveal fixation for search directed machine vision systems. In: Automated Inspection and High-Speed Vision Architectures III, 6-7 November 1989, Philadelphia, PA, USA.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


The human visual system has evolved towards a close integration of visual information processing and visual data acquisition. Fast, peripheral, pre-attentive vision uses low resolution input to direct the fixation of the fovea to features of importance in an efficient visual search pattern. Here we describe a system which emulates the multi-resolution aspect of human visual processing to provide computational efficiency in data analysis. The visual task used is the location of specific features in human faces for use in videotelephony. The feature location technique uses a Kohonen-based neural network architecture to permit learning by example. Input data is in the form of a resolution pyramid to emulate the differing modes of human vision. The system is implemented on a RISC-based microcomputer workstation with purpose-built real-time image acquisition hardware. It performs well with both familiar and unseen image data and, with refinement, could form the basis of a useable system.

Keywords:Computer Architecture--Reduced Instruction Set Computing, Neural Networks, Vision, Human Visual Processing, Kohonen Neural Network, Learning by Example, Visual Search Pattern, Computer Vision
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G730 Neural Computing
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:8627
Deposited On:31 May 2013 10:33

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