Total Moving Face Reconstruction

We reconstruct a controllable model of a person from a large photo collection that captures his or her persona, i.e., physical appearance and behavior. The ability to operate on unstructured photo collections enables modeling a huge number of people, including celebrities and other well photographed people without requiring them to be scanned. Moreover, we show the ability to drive or puppeteer the captured person B using any other video of a different person A. In this scenario, B acts out the role of person A, but retains his/her own personality and character. Our system is based on a novel combination of 3D face reconstruction, tracking, alignment, and multi-texture modeling, applied to the puppeteering problem. We demonstrate convincing results on a large variety of celebrities derived from Internet imagery and video.

http://mashable.com/2015/12/08/tom-hanks-digital-puppet/#6H8H2CbKiGqB

http://grail.cs.washington.edu/projects/totalmoving/

[relatedpost limit=5 position=none thumbwidth=240 thumbheight=140 size=20 color=#666666 hovercolor=#FFFFFF]