This paper describes a new method for the visualization of 3D image data reconstruction, and its core theme is that decompose 3D model into a group of orthogonal basis extended coefficient of spherical harmonic function. The paper using least squares method for transforming the original coordinate into orthogonal basis extended coefficient of spherical harmonic function. These coefficients can reconstruct image 3D model through personal computer (PC). The theory and test shows that the modeling speed of method is much higher than some traditional method of modeling. It may provide a new way for solving the problems in the field of 3D models reconstruction for large visualization data and slow modeling speed.%描述了一种用于三维图像数据重构的可视化的新方法,其核心在于将三维图像数据模型分解为一组球面调和函数的正交基的扩展系数.利用最小二乘法将模型的原始数据坐标拟合成一组球面调和函数的正交基的扩展系数.这些系数可以通过个人计算机运算重建图像的三维模型.理论与实验表明:该方法的建模速度远高于一些传统的建模方法,为解决三维图像数据可视化中数据量大,建模速度缓慢等问题提供了一种新的解决方法.
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