一种基于可见性权重的人脸纹理融合方法

Q3 Engineering 西北工业大学学报 Pub Date : 2023-04-01 DOI:10.1051/jnwpu/20234120370
Yang Liu, Yangyu Fan, Haoyue Ma, Guoyun Lyu, Shiya Liu
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引用次数: 0

摘要

在从二维图像到三维人脸模型的重建过程中,在不同视角下的人脸图像,纹理补全仍然存在像素模糊和颜色不一致的问题。本文提出了一种基于可见性权重的人脸纹理融合方法。同时,针对耳区几何结构复杂,传统纹理映射算法无法适用的情况,采用高斯模型肤色概率法进行像素补全,并与纹理融合带进行联合优化。最后,我们生成了一个完整的高保真人脸纹理模型。仿真实验表明,该方法能够在多视点下生成完美的人脸纹理。我们的面部纹理模型在相同的渲染条件下优于最先进的技术。
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A method of face texture fusion based on visibility weight
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.
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来源期刊
西北工业大学学报
西北工业大学学报 Engineering-Engineering (all)
CiteScore
1.30
自引率
0.00%
发文量
6201
审稿时长
12 weeks
期刊介绍:
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