3D Reconstruction of Stereo Vision Using Neural Networks Implicit Vision Model

The classical stereo vision algorithms based on explicit model are very complicated,an algorithm of stereo vision based on BP neural networks implicit vision model is proposed.Multiple calibration planes are placed in the effective view field,neural network is used to simulate the process of generating 3D points from two 2D image points,after training the BP networks an implicit model was built, the 3D points can be reconstructed without the complicated calibration of camera.Experimental results show that the algorithm is fairly simple and accurate.