Biologically Motivated Approach to Face Recognition

A biologically motivated compute intensive approach to computer vision is developed and applied to the problem of face recognition. The approach is based on the use of twodimensional Gabor functions that fit the receptive fields of simple cells in the primary visual cortex of mammals. A descriptor set that is robust against translations is extracted by a global reduction operation and used for a search in an image database. The method was applied on a database of 205 face images of 30 persons and a recognition rate of 94% was achieved

Biologically Motivated Approach to Face Recognition

A biologically motivated compute intensive approach to computer vision is developed and applied to the problem of face recognition. The approach is based on the use of twodimensional Gabor functions that fit the receptive fields of simple cells in the primary visual cortex of mammals. A descriptor set that is robust against translations is extracted by a global reduction operation and used for a search in an image database. The method was applied on a database of 205 face images of 30 persons and a recognition rate of 94% was achieved. 1 Introduction The advent of parallel supercomputers promoted high-speed computing in the many billion (Giga) floating-point operations per second (Gflops/s, G=10 9 ) domain and the first Tflops/s (T=10 12 ) supercomputers are shortly expected. The awareness of the new possibilities offered by highperformance computers has led to considerable progress in computational natural and engineering sciences but at the same time left relatively untouched th..