Name
Abstract | ||
|---|---|---|
Imagine taking a selfie video with your mobile phone and getting as output a 3D model of your head (face and 3D hair strands) that can be later used in VR, AR, and any other domain. State of the art hair reconstruction methods allow either a single photo (thus compromising 3D quality) or multiple views, but they require manual user interaction (manual hair segmentation and capture of fixed camera views that span full 360°). In this paper, we describe a system that can completely automatically create a reconstruction from any video (even a selfie video), and we don't require specific views, since taking your -90°, 90°, and full back views is not feasible in a selfie capture.
In the core of our system, in addition to the automatization components, hair strands are estimated and deformed in 3D (rather than 2D as in state of the art) thus enabling superior results. We provide qualitative, quantitative, and Mechanical Turk human studies that support the proposed system, and show results on a diverse variety of videos (8 different celebrity videos, 9 selfie mobile videos, spanning age, gender, hair length, type, and styling).
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3272127.3275020 | ACM Trans. Graph. |
Keywords | DocType | Volume |
3D hair, hair reconstruction, in the wild, selfie video | Journal | abs/1809.04765 |
Issue | ISSN | Citations |
6 | 0730-0301 | 2 |
PageRank | References | Authors |
0.37 | 43 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shu Liang | 1 | 20 | 1.32 |
| Xiufeng Huang | 2 | 2 | 0.37 |
| Xianyu Meng | 3 | 2 | 1.05 |
| Kunyao Chen | 4 | 2 | 0.37 |
| Linda G. Shapiro | 5 | 2603 | 847.56 |
| Ira Kemelmacher-Shlizerman | 6 | 710 | 28.03 |