Automated feature extraction of face image and its applications

In this paper, we describe the algorithm of automated face area segmentation and facial feature extraction from input images with free backgrounds. The extracted feature points around the eyes, mouth, nose and facial contours are used for modifying facial images. The modified images are stored in the frame memory, and the human speaking scene is generated by continually changing the frames according to input text or speech sound. When speaking voice is input, the vowels are recognised and the corresponding frames are recalled out. This system can be applied not only to the media conversion but also to human-machine interface.