Volltext-Downloads (blau) und Frontdoor-Views (grau)
The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 24 of 41
Back to Result List

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.

Download full text files

  • 2246.pdf
    eng

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author of HS ReutlingenRätsch, 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
Publication year:2018
Page Number:7
First Page:780
Last Page:786
DDC classes:004 Informatik
Open access?:Nein
Licence (German):License Logo  In Copyright - Urheberrechtlich geschützt