TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Feng, Zhen-Hua
A1  - Huber, Patrik
A1  - Kittler, Josef
A1  - Hancock, Peter
A1  - Wu, Xiao-Jun
A1  - Zhao, Qijun
A1  - Koppen, Paul
A1  - Rätsch, Matthias
T1  - Evaluation of dense 3D reconstruction from 2D face images in the wild
T2  - 13th IEEE International Conference on Automatic Face and Gesture Recognition : FG 2018 : 15 - 19 May 2018, Xi'an, China, proceedings
N2  - 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.
Y1  - 2018
SN  - 978-1-5386-2335-0
SB  - 978-1-5386-2335-0
U6  - https://doi.org/10.1109/FG.2018.00123
DO  - https://doi.org/10.1109/FG.2018.00123
SP  - 780
EP  - 786
S1  - 7
PB  - IEEE
CY  - Piscataway, NJ
ER  -