Design of binocular vision 3D reconstruction system based on motion recovery
王欣 Wang Xin, 袁坤 YUAN Kun, 于晓 Yu Xiao, 章明朝 Zhang Ming-chao · Optics and Precision Engineering · 2014
An 3D reconstruction system based on binocular stereo vision was improved to obtain higher accuracy and larger scale of 3D reconstruction. A disparity refinement procedure was introduced to the system, so that the matching cost between the original parallax and the adjacent disparity was fitted into a quadratic curve and to re-find a more accurate parallax for the curve. Then, the motion recovery calculation was further applies to estimation of the camera motion matrices and the tracking points and camera motion matrices were taken as the parameters to construct the energy function. Furthermore, the energy function was optimized to reduce errors effectively and reconstruct the motion matrix accurately. Experimental results indicate that the proposed refinement procedure effectively improves the accuracy of reconstruction of point clouds and reduces the error by 16.3 percent in average with avoiding the scale point cloud phenomenon. As the motion recovery calculation steps recover the camera motion matrix accurately, the optimized method reduces the mean re-projection error by 95.5 percent. The point clouds achieved from different angle images are no longer isolated and the reconstructed models are integrated naturally.