Exigent: An Automatic Avatar Generation System

نویسندگان

  • Dominic Kao
  • D. Fox Harrell
چکیده

Avatars are pervasive in video games and virtual worlds. The automatic generation of these avatar promises to reduce player effort and provide system-defined mappings between “real” (physical) player characteristics and virtual identities. We present an avatar generation system called Exigent; given a photograph of a human face, Exigent creates an avatar. Exigent leverages two recent computer vision packages and extends them with a custom facial analysis and generation sub-module. The generated avatars incorporate the user’s gender, face shape, hair color, facial expression, eye shape, and more. This system is different from most avatar creators in its consideration of finer-grained details such as curvature of the face, distance between eyes, size of features, etc.

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تاریخ انتشار 2015