Introduction - If you have any usage issues, please Google them yourself
Out of a dense disparity map to restore quality stereoscopic cooperative algorithms. The algorithm based on adaptive weighted morphological similarity method iteratively local neighborhood adaptive aggregation and inhibition of amplification to achieve high efficiency and high quality dense disparity map calculation. The algorithm is extended to trinocular stereo matching system, by rebuilding the camera coordinate system for image correction, and assumptions based on continuity and uniqueness of the assumptions in establishing a supportive relationship disparity space and trinocular relationship between inhibition. Experimental results show that the algorithm can cooperate trinocular stereo scene accurate parallax map and can achieve more occlusion detection base line direction. The algorithm is particularly suitable for low-cost cameras consisting of a plurality of three-dimensional vision system, almost no increase in the software and the hardware resources. You can get high-quality