Complex cell prototype representation for face recognition
IEEE Transactions on Neural NetworksPublished 1 January 1999
L. Prssoa, Alexandre Gomes Leitao
Citations12
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TL;DR
The proposed face recognition system is much simpler than previous proposals and relatively inexpensive computationally, while attaining error rates as low as 5%, very close to the best reported results.
Abstract
In this paper we propose a new face recognition system based on a biologically inspired filtering method. Our work differs from previous proposals in: 1) the multistage filtering method employed; 2) the pyramid structure used, and most importantly; 3) the prototype construction scheme to determine the models stored in memory. The method is much simpler than previous proposals and relatively inexpensive computationally, while attaining error rates as low as 5%, very close to the best reported results.
Keywords
Computer Science
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