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Neural model of visual selective attention for automatic translation invariant object recognition in cluttered images

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3 Author(s)
E. W. Chong ; Dept. of Electr. & Electron. Eng., Adelaide Univ., SA, Australia ; Cheng-Chew Lim ; P. Lozo

This paper presents a biologically inspired neural model for detecting, locating and recognising all known objects in the visual scene automatically. In particular, this model employs bottom-up segmentation to achieve shifts in spatial attention, for selecting potential regions of interest across the visual scene

Published in:

Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference

Date of Conference:

Dec 1999