期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2015
卷号：7
期号：3
出版社：International Center for Scientific Research and Studies
摘要：Artificial Neural Network which possessing self-learning ability has shown great promise in addressing problem of learning an artist style in generating facial caricatures. This paper presents Artificial Neural Network model to imitate a particular artist style and to predict a facial caricature configuration for a given original face image (photo). This paper also describes the data preparing process that proposes a modified procrustes superimposition method in deriving the datasets for the neural network model. The experiment is carried out to compare the modified procrustes superimposition method with the original one and to find the appropriate neural network structure that would yield the most accurate prediction results. Different datasets (N1, N2, and N3) derived from the same raw data but using the different method in preparing the dataset and different numbers of hidden nodes (6, 12, 18 and 24) are tested. The experimental result and its detail analysis are given and discussed. It proves that neural network has an ability to predict how the artist exaggerates the original facial feature point. Dataset N2 which use Modified Procrustes Superimposition method and the simple structure of a single hidden layer neural network, in which 6 is the number of hidden node, give the best accuracy of the prediction
关键词：Neural Network; Caricature; Face Image; Procrustes ; Superimposition; Artist Style; Exaggeration
