A method of face texture fusion based on visibility weight

Author:

LIU Yang,FAN Yangyu,MA Haoyue,LYU Guoyun,LIU Shiya

Abstract

In the reconstruction process from 2D images to 3D face models, texture completion still suffers from pixel blurring and color inconsistency when face images are under different perspectives. In this paper, we propose a method based on visibility weights for face texture fusion. Meanwhile, for the complex geometric structure of the ear region where the traditional texture mapping algorithm is inapplicable, a skin color probability method with Gaussian model is used for pixel completion, and jointly optimized with the texture fusion band. Finally, we generate a complete and high-fidelity face texture model. The simulation experiment shows that the novel face texture fusion and completion method generates the perfect texture under multiple viewpoints. Our face texture model outperforms state-of-the-art techniques under the same rendering conditions.

Publisher

EDP Sciences

Subject

General Engineering

Reference14 articles.

1. JAMES B, ANASTASIOS R, STEFANOS Z, et al. A 3D morphable model learnt from 10 000 faces[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2016

2. Two-Part Texture Mappings

3. DEEPAK P, PHILIPP K, JEFF D, et al. Context encoder: feature learning by inpainting[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016

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