Application of multi-layer perceptrons to facial feature location
Evor L. Hines, Rebecca Hutchinson · 1989
Describes the application of an artificial neural network, the multi-layer perceptron, to the problem of extracting the position of the eyes from a head and shoulders type image. The multi-layer perceptron is described and various architectures of network are considered. The nature of the training data required for the network is discussed, including the size of the input image and the use of whole or partial images for training. Results on both still and moving pictures have been obtained. Attempts have been made to extend the process to a generalised solution which will detect the position of the eyes in any head and shoulders image. The most successful network can be trained on five frames of a moving sequence, and is then able to track the eyes through the rest of the sequence with hardly any problems.