Stereo matching using both orthogonal and multiple image pairs

In the stereo matching process, a difficult task is to eliminate the false match caused by the repetitive patterns and smooth patterns. A new stereo matching technique that uses multiple image pairs in orthogonal-directions has been proposed. First, it computes the sum of squared-difference (SSD) values for each stereo pair in orthogonal-directions. Then it simply adds individual SSD to produce the sum of SSDs. The resulting function is called the OSSSD. We have proved that the OSSSD function possesses a unique and clear minimum at the true matching position, so it can easily remove the false match caused by both repetitive and smooth patterns. A number of experiments with synthetic and real image sequences are performed, and the results are presented to demonstrate the effectiveness of the technique