一种基于可见性权重的人脸纹理融合方法

Translated title of the contribution: A method of face texture fusion based on visibility weight

Yang Liu, Yangyu Fan, Haoyue Ma, Guoyun Lyu, Shiya Liu

Research output: Contribution to journalArticlepeer-review

Abstract

In the reconstruction process from 2D images to 3D face models, texture completion still suffers from pix- el 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 gener- ate a complete and high-fidelity face texture model. The simulation experiment shows that the novel face texture fu- sion and completion method generates the perfect texture under multiple viewpoints. Our face texture model outper- forms state-of-the-art techniques under the same rendering conditions.

Translated title of the contributionA method of face texture fusion based on visibility weight
Original languageChinese (Traditional)
Pages (from-to)370-378
Number of pages9
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume41
Issue number2
DOIs
StatePublished - Apr 2023

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