Enhancing Facial Impression for Video Conference

Title
Enhancing Facial Impression for Video Conference
Authors
박성연최희승김익재
Keywords
transformation of facial impression; face warping; face tracker; ma-chine learning; deformation of face
Issue Date
2015-07
Publisher
Lecture notes in computer science
Citation
VOL 9189, 362-369
Abstract
Most people have their preferred impression to be seen by others. Our face warping method can make this real. In this paper, we propose a new tech-nique for automatic transformation of facial impression, for example, look more attractive or baby-face from the original. We build an impression score function, trained by scores from human raters, and the function is used to get displacement vectors for a given face. To preserve the facial identity as much as possible, we constrain the facial deformation range with facial classification. In case of real time application, such as video conference, there are frequent facial expressions variation and position changes. Face tracker is used to cope with this changing situation. Through our experiments, our proposed method can be one of the prom-ising methods for future video conference system.
URI
http://pubs.kist.re.kr/handle/201004/50797
ISSN
03029743
Appears in Collections:
KIST Publication > Article
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