Feature-preserving detailed 3D face reconstruction from a single image-Reference-Cited by-同舟云学术

Feature-preserving detailed 3D face reconstruction from a single image

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th ACM SIGGRAPH European Conference on Visual Media Production - CVMP '18
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Author:

Li Yue¹,Ma Liqian²,Fan Haoqiang²,Mitchell Kenny³

Affiliation:

1. University of Pennsylvania

2. Megvii Inc. (Face++)

3. Edinburgh Napier University

Publisher

ACM Press

Reference36 articles.

1. Thabo Beeler, Bernd Bickel, Paul Beardsley, Bob Sumner, and Markus Gross. 2010. High-quality single-shot capture of facial geometry. InACM Transactions on Graphics (ToG), Vol. 29. ACM, 40.

2. V. Blanz and T. Vetter. 2003. Face recognition based on fitting a 3D morphable model.IEEE Transactions on Pattern Analysis and Machine Intelligence25, 9 (2003), 1063âĂŞ1074.

3. J. Booth, A. Roussos, S. Zafeiriou, A. Ponniahy, and D. Dunaway. 2016. A 3D Morphable Model Learnt from 10,000 Faces. In2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).5543--5552.

4. Dan A. Calian, Jean-Francois Lalonde, Paulo Gotardo, Tomas Simon, Iain Matthews, and Kenny Mitchell. 2018. From Faces to Outdoor Light Probes.Computer Graphics Forum(2018).

5. Chen Cao, Derek Bradley, Kun Zhou, and Thabo Beeler. 2015. Real-time High-fidelity Facial Performance Capture.ACM Trans. Graph.34, 4, Article 46 (July 2015), 9 pages.

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