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.