Department of Computer Science and Engineering
University of Washington
3D Head Reconstruction
Project Summary:
Acquiring high-detailed 3D head shape is challenging due to the highly non-rigid
nature of human's face. However, current high-detailed reconstruction methods
usually require the subject to participate in the capture session with a complex
setup.
The goal of this work is to provide easy 3D head reconstruction methods to
generate a personalized and high-detailed 3D shape of a person's head.
We explored the input using a single RGBD frame, 2D photos from the Internet or
in-the-wild videos. 3D hairstyle reconstruction is also explored.
People:
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Ira Kemelmacher-Shlizerman |
Linda Shapiro |
Shu Liang |
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Publications:
S. Liang,
Xiufeng Huang, Xianyu Meng, Kunyao Chen, L. G.
Shapiro, I. Kemelmacher-Shlizerman, ``Video to Fully Automatic 3D Hair Model'',
Siggraph Asia, 2018
S. Liang, L. G.
Shapiro, I. Kemelmacher-Shlizerman, ``Head Reconstruction from Internet
Photos'', European Conference on Computer Vision, 2016
S. Liang, I.
Kemelmacher-Shlizerman, L. G. Shapiro, ``3D Face Hallucination from a Single
Kinect Frame,'' International
Conference on 3D Vision, 2014.