重庆工商大学学报（自然科学版）2026，Vol.43Issue(4)：18-27,10.DOI:10.16055/j.issn.1672-058X.2026.0004.003
基于特征核相关的单张图像三维人脸重建方法
3D Face Reconstruction from a Single Image Based on Feature Kernel Correlation
摘要
Abstract
Objective This paper aims to address the issue that existing single-image 3D face reconstruction methods based on weakly supervised learning focus on global supervision information and lack constraints on local features,which leads to poor reconstruction results in local facial regions.Methods A single-image 3D face reconstruction method based on feature kernel correlation is proposed.On the basis of a global multi-level loss function composed of low-level perceptual loss,mid-level facial key-point loss,high-level identity loss,and shape consistency loss,a feature kernel correlation loss function was constructed to better constrain local parts,aiming to improve the reconstruction accuracy of 3D faces.Results The proposed loss function was used to constrain the shape of the mouth.Quantitative comparison experiments were conducted on the RE ALY public benchmark,with the mean error of the overall reconstruction being 2.102 mm and the mouth reconstruction error being 2.206 mm.Qualitative comparison experiments were carried out on the FFHQ public dataset.Finally,ablation experiments and visual demonstrations were performed on the FaceScape dataset and the LYHM dataset to verify the effectiveness of the proposed loss function and the robustness of the model.Conclusion Experimental results demonstrate that the proposed reconstruction method outperforms other methods from different viewpoints in both overall and local reconstruction.Moreover,the proposed model also exhibits outstanding performance in various poses,expressions,and lighting environments.关键词
三维人脸重建/特征核相关/弱监督学习/卷积神经网络/3D形变模型Key words
3D face reconstruction/feature kernel correlation/weakly supervised learning/convolutional neural network/3D morphable model分类
信息技术与安全科学引用本文复制引用
王阿龙,戴家树,倪斌帆,曹韬..基于特征核相关的单张图像三维人脸重建方法[J].重庆工商大学学报（自然科学版）,2026,43(4):18-27,10.基金项目
安徽省教育厅高校科学研究重点项目资助(KZ22020130) （KZ22020130）
产学研合作项目资助(KH10002119). （KH10002119）
