文档介绍：
一种基于遗传算法的明暗恢复形状重构模
型光顺方法#
王浩臣,王军,吴凤和,李秀亮**
5
10
(燕山大学机械工程学院,河北秦皇岛,066004)
摘要:针对 SFS 重构曲面光顺性差的问题,提出基于遗传算法的明暗恢复形状重构模型光
顺方法。首先,利用 SFS 方法获取曲面的三维点云数据;再通过 B 样条插值方法建立重构
曲面的数学模型,并通过控制顶点的反算重构曲面;最后,根据 SFS 重构曲面的特点确定
曲面光顺准则,并选择合适的编码方法、适应度函数及遗传操作方法去除坏点,最终实现基
于遗传算法的 SFS 重构模型光顺。实验结果表明:该方法能够有效去除重构曲线及曲面上
的坏点,提高光顺处理效率,保证 SFS 重构曲面的形状精度。
关键词:曲面重构;光顺;明暗恢复形状;遗传算法;B 样条
中图分类号:
15
A Smoothing method of Shape from Shading Reconstructed
model Based on ic Algorithm
WANG Haochen, WANG Jun, WU Fenghe, LI Xiuliang
(Yanshan University, College of Mechanical Engineering, Qinhuangdao, Hebei,066004)
20
25
30
Abstract: To improve the smoothess of SFS reconstructed surface, a ic algorithm based
smoothing method of SFS reconstructed model was proposed. Firstly, three-dimensional point
cloud data were acquired by using Shape from shading method. And then, the mathematical model
of reconstructed surface was established by B-Splined interpolation method, and the parameters of
the reconstructed surface were determined through the reverse calculating of control points.
Finally, the evaluation criteria of smoothness for curves and surfaces were given according to the
features of SFS reconstructed surface, and the bad points were removed by using the ic
algorithm method with suitable encoding method, fitness function, and ic operations, so the
reconstructed surface was smoothed.