Head Reconstruction from Internet Photos
Abstract
3D face reconstruction from Internet photos has recently produced exciting results. A person’s face, e.g., Tom Hanks, can be modeled and animated in 3D from a completely uncalibrated photo collection. Most methods, however, focus solely on face area and mask out the rest of the head. This paper proposes that head modeling from the Internet is a problem we can solve. We target reconstruction of the rough shape of the head. Our method is to gradually “grow” the head mesh starting from the frontal face and extending to the rest of views using photometric stereo constraints. We call our method boundary-value growing algorithm. Results on photos of celebrities downloaded from the Internet are presented.
Cite
Text
Liang et al. "Head Reconstruction from Internet Photos." European Conference on Computer Vision, 2016. doi:10.1007/978-3-319-46475-6_23Markdown
[Liang et al. "Head Reconstruction from Internet Photos." European Conference on Computer Vision, 2016.](https://mlanthology.org/eccv/2016/liang2016eccv-head/) doi:10.1007/978-3-319-46475-6_23BibTeX
@inproceedings{liang2016eccv-head,
title = {{Head Reconstruction from Internet Photos}},
author = {Liang, Shu and Shapiro, Linda G. and Kemelmacher-Shlizerman, Ira},
booktitle = {European Conference on Computer Vision},
year = {2016},
pages = {360-374},
doi = {10.1007/978-3-319-46475-6_23},
url = {https://mlanthology.org/eccv/2016/liang2016eccv-head/}
}