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Authors: Weibin Qiu ; Yao Yu ; Yu Zhou and Sidan Du

Affiliation: School of Electronic Science and Engineering, Nanjing University, Nanjing and China

Keyword(s): 3D Face Reconstruction, Morphable Model, Illumination Priors, Shape-from-Shading.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Software Engineering ; Stereo Vision and Structure from Motion

Abstract: 3D face reconstruction has a wide range of applications, but it is still a challenging problem, especially when dealing with a single image. Inspired by recent works in face illumination estimation and face animation from video, we propose a novel method for 3D face renconstruction with geometric details from a single image by using three steps. First, a coarse 3D face is generated in morphable model space by landmarks alignment. Afterwards, using the face illumination priors and surface normals generated from the coarse 3D face, we estimate both illumination condition and facial texture, making it possible for the final step that refines geometric details through shape-from-shading method. Experiments prove that our method outperforms state-of-the-art method in terms of accuracy and geometric preservation.

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Paper citation in several formats:
Qiu, W.; Yu, Y.; Zhou, Y. and Du, S. (2019). Fine-grained 3D Face Reconstruction from a Single Image using Illumination Priors. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 876-883. DOI: 10.5220/0007406508760883

@conference{visapp19,
author={Weibin Qiu. and Yao Yu. and Yu Zhou. and Sidan Du.},
title={Fine-grained 3D Face Reconstruction from a Single Image using Illumination Priors},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP},
year={2019},
pages={876-883},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007406508760883},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP
TI - Fine-grained 3D Face Reconstruction from a Single Image using Illumination Priors
SN - 978-989-758-354-4
IS - 2184-4321
AU - Qiu, W.
AU - Yu, Y.
AU - Zhou, Y.
AU - Du, S.
PY - 2019
SP - 876
EP - 883
DO - 10.5220/0007406508760883
PB - SciTePress