Occlusion is a major problem in dynamic space intersection measurement with multi-camera systems. When occlusion occurs in measuring process, certain control points can only be observed by one camera, so the typical method of space intersection can′t be useable. To process the occlusion problem, the locations of the control points can be roughly determined, the optimal results can be obtained through iterative optimization algorithms, and the objective function can be established by multi-plane constraints of the available control points (the points are observed not only by all the cameras, but also by parts of the cameras). The experimental results show that the method can solve the occlusion problem well, and provide reliable measuring accuracy at the same time.