A Neural Network Model of Face Detection for Active Vision Implementation
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2012, Vol 2, Issue 5
Abstract
We suggest an active vision design in a neural style to achieve face detection, or face recognition in gaze, understanding network structures on impaired face recognition in developmental disorders such as autism spectrum deficits and Asperger's syndrome. The core of the active vision design is so-called corollary discharge (CD) on an ascending pathway of the superior colliculus to the frontal eye field (FEF) via the mediodorsal thalamus. The CD is the signal about upcoming eye movements for achieving the stable visual perception. Assuming that the CD is parameterized as controlling dynamical projection creation between the FEF and the Fusiform gyrus, face detection performance is shown to gradually decrease when the value of the CD parameter increases. This indicates a deficit of accurate eye motion, which may elicits impaired face recognition in gaze.
Authors and Affiliations
Yasuomi Sato, Yasutaka Kuriya
Keywords
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