Evaluation of dense 3D reconstruction from 2D face images in the wild
- This paper investigates the evaluation of dense 3D face reconstruction from a single 2D image in the wild. To this end, we organise a competition that provides a new benchmark dataset that contains 2000 2D facial images of 135 subjects as well as their 3D ground truth face scans. In contrast to previous competitions or challenges, the aim of this new benchmark dataset is to evaluate the accuracy of a 3D dense face reconstruction algorithm using real, accurate and high-resolution 3D ground truth face scans. In addition to the dataset, we provide a standard protocol as well as a Python script for the evaluation. Last, we report the results obtained by three state-of-the-art 3D face reconstruction systems on the new benchmark dataset. The competition is organised along with the 2018 13th IEEE Conference on Automatic Face & Gesture Recognition.
| Author of HS Reutlingen | Rätsch, Matthias |
|---|---|
| DOI: | https://doi.org/10.1109/FG.2018.00123 |
| ISBN: | 978-1-5386-2335-0 |
| Erschienen in: | 13th IEEE International Conference on Automatic Face and Gesture Recognition : FG 2018 : 15 - 19 May 2018, Xi'an, China, proceedings |
| Publisher: | IEEE |
| Place of publication: | Piscataway, NJ |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Publication: | 2018 |
| Page Number: | 7 |
| First Page: | 780 |
| Last Page: | 786 |
| DDC classes: | 004 Informatik |
| Open Access?: | Nein |
| Licence (German): |  Lizenzbedingungen IEEE |
