Motion stereo based on adaptive correlation matching

A new algorithm to compute precise depth estimates for motion stereo is described. Input data is obtained from a single CCD camera and a moving belt. It is shown that the problem of matching among multiple motion stereo images can be effectively carried out by use of adaptive correlation matching. Experimental results with real stereo images are presented to demonstrate the performance of the algorithm.