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My digital face

Published:31 July 2015Publication History

ABSTRACT

This project puts the capability of producing a photorealistic face into the hands of nearly anyone, without an expensive rig, special hardware, or 3D expertise.

Using a single commodity depth sensor (Intel RealSense) and a laptop computer, the research team captures several scans of a single face with different expressions. From those scans, a near-automatic pipeline creates a set of blendshapes, which are puppeteered in real time using tracking software. An important stage of the blendshape pipeline is automated to identify and create correspondences between the geometry and textures of different scans, greatly reducing the amount of texture drifting between blendshapes. To expand the amount of control beyond individual shapes, the system can automatically include blendshape masks across various regions of the face in order to mix effects from different parts, resulting in independent control over blinks and lip shapes.

The results are photorealistic and sufficiently representative of the capture subjects, so they could be used in social media, video conferencing, business communications, and other places where an accurate representation (as opposed to an artistic or stylized one) is desired or appropriate.

During the demo, the team scans two people who then puppeteer their own faces in real time.

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    • Published in

      cover image ACM Conferences
      SIGGRAPH '15: ACM SIGGRAPH 2015 Computer Animation Festival
      July 2015
      195 pages
      ISBN:9781450333269
      DOI:10.1145/2745234

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 31 July 2015

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