基于细分曲面的三维人脸建模研究

Research on 3D Face Reconstruction Based on Subdivision Surface

针对传统基于参数曲面的三维人脸建模方法获得的人脸表面过于光滑,丢失了人脸表面的细节特征这一问题,提出了一种基于细分曲面的三维人脸建模方法。首先,基于Delaunay三角剖分技术对采集到的人脸三维点云进行网格剖分,得到初始人脸表面;然后,采用Loop细分算法对初始人脸三角网格进行细分,得到一张光滑细腻的细分曲面;最后,基于该细分曲面重建出逼真的三维人脸模型。实验结果表明,与传统方法相比,该方法获得的三维人脸模型不仅光滑细腻,而且还保留了人脸表面的大量细节特征。

Aiming at the problem that face surface achieved by conventional 3D face reconstruction methods based on parametric surface is so smooth that it losses the detail characteristics, this paper presents a novel 3D face reconstruction method based on subdivision surface. Firstly, based on the Delaunay triangulation technique the face point cloud measured by a 3D scanner is triangulated, and then initial face surface is achieved; Then, a smooth subdivision surface is generated by using Loop algorithm to subdivide the initial face triangular mesh. Finally, based on this subdivision surface a realistic 3D face model is reconstructed. The experimental results show that compared with other conventional methods, this method can be used to achieve a smooth 3D face model, in the meantime, the model achieved also contains lots of face detail characteristics.