Name
Abstract | ||
|---|---|---|
ABSTRACT This paper introduces an automated 3D-reconstruction method for generating high-quality virtual humans from monocular smartphone cameras. The input of our approach are two video clips, one capturing the whole body and the other providing detailed close-ups of head and face. Optical flow analysis and sharpness estimation select individual frames, from which two dense point clouds for the body and head are computed using multi-view reconstruction. Automatically detected landmarks guide the fitting of a virtual human body template to these point clouds, thereby reconstructing the geometry. A graph-cut stitching approach reconstructs a detailed texture. Our results are compared to existing low-cost monocular approaches as well as to expensive multi-camera scan rigs. We achieve visually convincing reconstructions that are almost on par with complex camera rigs while surpassing similar low-cost approaches. The generated high-quality avatars are ready to be processed, animated, and rendered by standard XR simulation and game engines such as Unreal or Unity. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3385956.3418940 | VRST |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stephan Wenninger | 1 | 0 | 0.68 |
| Jascha Achenbach | 2 | 30 | 1.87 |
| Andrea Bartl | 3 | 6 | 1.75 |
| Marc Erich Latoschik | 4 | 515 | 76.83 |
| Mario Botsch | 5 | 2385 | 116.10 |