一种曲线松弛约束逼近的三维人脸图像建模算法

针对人脸特征表情变化极为复杂、传统的匹配方法不能很好刻画细微表情变化、三维人脸建模的准确度不强 的问题，提出一种基于小区域点曲线逼近的三维人脸建模算法。对人脸的三维区域表情变化较为丰富的区域进行小 区域划分，运用特征点曲线松弛约束逼近技术，模拟较为复杂的人脸曲线轮廓，避免了传统算法中用直线进行轮廓刻 画带来的刻画不准、特征模拟失真的弊端。实验表明，该方法能很好地恢复三维人脸表情变化较为丰富区域的特征信 息，使三维人脸重建更加准确，特征刻画准确度更高。

Face Reconstruction Algorithm Based on Small Curve Relaxation Constraint Approximation

Aiming at the problem that face feature expression change is very complex, and the traditional modeling methods can't good depict subtle expression changes, and the realistic face modeling is not strong, this paper proposed 3d face modeling algorithm based on a small area the approaching a point curve. The three dimensional area face expres- sion changes arc relatively rich. This paper made small region partition of the area used points approximation technology to simulate more complex curve profile, to avoid the abuses of dipict and characteristics simulation distortion when using traditional algorithm based on the features of the straight line. This method can restore good 3d face expressions change relatively rich area feature information, making 3d face modeling more realistic, and features depict higher accuracy.