Personalized Avatar Creation using Face Recognition
Avatars are a user's virtual representation in an online community
of cyberspace. In some circumstances it may be important to include
personal information about the user in the avatar. It is natural to
use the user's face to personalize the avatar, and it is now possible
to do this quickly and simply using face detection and recognition
algorithms. The Egaokun system uses face processing algorithms to
extract the region of the face from an input image and combine it
with an avatar body. If desired, high level knowledge of the face
can be used to aid the user in the selection of an avatar body.
In addition, the face could be caricaturized or distorted for
for emphasis or comical effect.
The figure above shows a schematic of the processing involved
in avatar personalization using the Egaokun algorithm. The image
is transformed using 2-D Gabor wavelet features. The face region is
automatically registered using elastic graph matching. High-level
information, such as the facial expression and gender,
may be used to suggest avatar selections to the user. The face
is then combined with the avatar body.
The example below was automatically created using the Egaokun system.
Publications about this Project
Avatar Creation using Automatic Face Recognition
Michael J. Lyons, Andre Plante, Sebastien
Jehan, Seiki Inoue & Shigeru Akamatsu
Proceedings, ACM Multimedia 98, Bristol, England,
Sept. 1998, pp. 427-434. (Click here to download PDF)
Related Research Projects on this Site
The Noh Mask Effect
JAFFE Facial Expression Database
Web Resources on Facial Expression Research
The Mouthesizer: Facial Action HCI