A Passive Measurement Approach for Trinocular Stereo Vision

摘要

In this paper a passive measurement approach for trinocular stereo vision by pyramidal graph propagation matching is proposed. The choice of the starting triplet in the algorithm is based on perspective projective geometry and matching by propagation greatly limits the searching scope. Therefore, it can accelerate the computing and avoid the possible false targets. Matching by propagation makes use of the structural similarities of triple images in pyramidal graphs of BLI's, whereas the overall examination and verification of matching results is done by a comparison of the propagation success ratio. This algorithm can effectively overcome some essential limitations of binocular stereo vision methods and assure the matching results precise and reliable.