Global deformation model for 3D facial combination

Shuang Li; Xiang Li; Xiaohan Li; Xiang Zhou

doi:10.1117/12.2573892

12 June 2020 Global deformation model for 3D facial combination

Shuang Li, Xiang Li, Xiaohan Li, Xiang Zhou

Proceedings Volume 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020); 115191D (2020) https://doi.org/10.1117/12.2573892
Event: Twelfth International Conference on Digital Image Processing, 2020, Osaka, Japan

Abstract

We propose an automatic face and head deformation method that combines 3D faces with an arbitrary head model. With the rapid development of Computer Vision and Deep Learning, 3d scans of human faces are becoming easier to obtain. How to complete the scanned 3D face data and make it a complete full head model, or give the scanned 3D face different 3D hairstyles, has always been an open question. For this reason, we propose a Global Deformation Model (GDM) which is implemented by multiple iterations. By building a Global Deformation Model (GDM), a full-head 3D data with complex hairstyles could be combined with 3D face data. In this way, the scanned face is automatically completed as a full-head model. Experiments show that compared with other deformation algorithms and full-head reconstruction methods, our method has better automation and robustness. It shows good deformation results in complex 3D data. We provide an attractive solution for graphic design, Virtual Reality, 3D printing, and other industries, which can be widely used in consumer scenes.

Citation Download Citation

Shuang Li, Xiang Li, Xiaohan Li, and Xiang Zhou "Global deformation model for 3D facial combination", Proc. SPIE 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020), 115191D (12 June 2020); https://doi.org/10.1117/12.2573892

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