Simulation of 3D Reconstruction Method of Damaged Black Pottery under Binocular Stereo Vision
In the process of 3D reconstruction,the change of ambient light,object transparency,occlusion and other factors may lead to inaccurate or incomplete reconstruction results.To improve the accuracy of 3D reconstruc-tion,this paper presented a method of 3D reconstruction for damaged black pottery based on binocular stereo vision.By converting the world-camera-image-pixel coordinate system,we calibrated the internal and external parameters of the binocular stereo-vision camera,and introduced the minimum spanning tree method to match the left and right im-age pairs stereoscopically.Then,we calculated the impact of the absolute intensity,gradient and cut-off value of image pixels on the smoothness of the reconstructed surface of black pottery,thus obtaining a continuous dense dispar-ity map.Moreover,we used the least square curve fitting method to smooth the 3D point cloud data of black pottery,thus mapping the points floating outside the surface onto the surface.Finally,we completed the 3D reconstruction of damaged black pottery through triangulation.Experimental results show that the proposed method can effectively im-prove the smoothness of the reconstructed surface of black pottery,and the reconstructed results have accurate dimen-sions and high fitting degree.
Binocular stereo vision3D reconstructionCoordinate system conversionMatching cost aggregationStereo matchingTriangulation
NETL
NSTL
万方数据
