In scenarios involving hollowed-out structures, occlusions and narrow spaces, the scanning process tend to be lengthy. Moreover, substantial manual interaction is often required for mesh generation, and the effect of 3D surface rendering is not always ideal. This paper attempts to perform 3D scanning for various handicrafts made of porcelain, pottery, wood and bronze based on medical CT. Contour points on each image are extracted to obtain 3D point cloud, subsequently facilitating surface rendering through meshing. Meanwhile, 3D display is directly conducted based on a volume rendering algorithm. The results indicate the superiority of volume rendering over surface rendering, as it reveals more detailed information and involves fewer manual operations. Quantitative accuracy evaluation demonstrates the feasibility and efficiency of CT-based non-human tissue 3D reconstruction.
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