期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2010
卷号：2
页码：262-278
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：The hypothesis of the present study is that features of abstract face-like patterns can be perceived in the archi- tectural design of selected house fac.ades and trigger emo- tional responses of observers. In order to simulate this phe- nomenon, which is a form of pareidolia, a software system for pattern recognition based on statistical learning was ap- plied. One-class classification was used for face detection and an eight-class classifier was employed for facial ex- pression analysis. The system was trained by means of a database consisting of 280 frontal images of human faces that were normalised to the inner eye corners. A separate set of test images contained human facial expressions and selected house fac. ades. The experiments demonstrated how facial expression patterns associated with emotional states such as surprise, fear, happiness, sadness, anger, disgust, contempt or neutrality could be identified in both types of test images, and how the results depended on preprocessing and parameter selection for the classifiers.
