2001 年 30 巻 2 号 p. 111-125
Simple method for extraction of paralinguistic features from a face as a nonverbal communicative intend was developed. A novel emotion-feature discrimination approach based on implementation of the natural compression and extraction abilities of humans was proposed. It combines simplicity and high computational efficiency in emotional classification and facial image processing. The method itself is divided into five steps: Segmentation by thresholding, face extraction and ellipse fitting, facial modules extraction, measurements and decision. Two independent, parallel experiments were obtained: real face-real face and real face-cartoon face. The cartoon face based model was developed by a paper emotional impression prototyping from which the emotion vector dimensionality was decided. The real face model was developed using Likert rating scales. It was demonstrated that our method works in both cases of real face based model and cartoon based model. At the same time we expressed the emotion in human face efficiently by a very small amount of information. We also showed that our method is applicable for emotion extraction from still and dynamic real face image.
