A Novel Neural Network Technique For The Detection Of Human
Faces In Visual Scenes
Author(s)
N. Sarris, G. Tzanetos and M.G. Strintzis
Abstract
A novel neural network technique for the
detection of human faces in visual scenes
Nikolaos Sarris, Georgios Tzanetos and Michael G. Strintzis
Information Processing Laboratory, Electrical and Computer
Engineering Department, Aristotle University ofThessaloniki, Greece
Abstract
This paper presents a novel neural network technique for the detection of human
faces and their basic characteristics (eyes and mouth) in complex visual scenes.
The proposed method utilises a two dimensional back-propagation neural
network which is structured in such a way as to relate observations in local
overlapping two-dimensional areas of the image scene. Results have been found
to be satisfactory even in scenes where the face is slightly rotated, as long as
both eyes are still visible.
1. Introduction
We present a novel neural network method for the detection of human faces in
image scenes. The proposed technique examines the image as a vector of its
pixels arranged in lexicographic ord
Keywords
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