为了高质量准确地对物体多视角三维图象进行快速对齐复位，提出了一种将多个视角三维自然曲面数据精确对齐复位于同一坐标系中的新型迭代方法，该方法根据三维自然曲面的共同特性，并采用不同视角中对应曲面部分的若干单元面法向量误差最小及其对应顶点距离最小的迭代准则来进行对齐复位，同时还详细地叙述了迭代算法的过程，并讨论了提高算法速度与降低累积误差的方法，实例表明，该算法在无需约束三维数据采集过程和不额外增加三维数据采集设备及操作的情况下，不仅速度快，而且由复位后的各视角三维曲面形成的整体表面效果自然逼真。

A novel iterative approach is proposed for precise aligning multiple 3D images captured from difference views of a natural object surface in one reference coordinate system. Based on common characteristic of 3D natural object surface, a hybrid principle is used which minimizes the difference between corresponded cell plane's vectors on different view's 3D images and the distances between vertexes and corresponded cell planes of another view. The process of iterative algorithm is described in detail. The formula derivation of algorithm is given. The ways to accelerate the iterative algorithm and the ways to avoid error accumulation are discussed and analyzed in detail. The examples show that the algorithm can reach high speed of alignment and perfect effect of whole surface made by aligned 3D images taken from different views without any restriction, any additional equipment and any additional operation when capturing 3D images.