Aiming at problem that 3 D reconstruction method based on horopter doesn’t make full use of data which results in rough matching

an iterative algorithm is proposed. On each step of the algorithm

the gray value of each pixel in the picture of one camera is projected on the 3 D model reconstructed on the previous step according the light path of the camera

then the gray values on the model are projected to the image plane of another camera

and the projecting data is compared with that of the original picture of the other camera

the 3 D model is adjusted at last. The result shows that the algorithm improves the precision of 3 D reconstruction.