Automated feature extraction of face image and its applications

Seiji Kobayashi, Shuji Hashimoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    17 Citations (Scopus)

    Abstract

    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. 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.

    Original languageEnglish
    Title of host publicationRobot and Human Communication - Proceedings of the IEEE International Workshop
    Pages164-169
    Number of pages6
    Publication statusPublished - 1995
    EventProceedings of the 1995 4th IEEE International Workshop on Robot and Human Communication, RO-MAN - Tokyo, Jpn
    Duration: 1995 Jul 51995 Jul 7

    Other

    OtherProceedings of the 1995 4th IEEE International Workshop on Robot and Human Communication, RO-MAN
    CityTokyo, Jpn
    Period95/7/595/7/7

    ASJC Scopus subject areas

    • Hardware and Architecture
    • Software

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