The study and the protection of movable cultural relics is important in accurately and efficiently obtaining their three-dimensional (3D) digital files and shaping parameters. The accurate and efficient reconstruction can be achieved when the proportion of matching points is approximately 50% in the multiview geometric, 3D reconstruction. This conclusion can effectively guide the collection of image sequences based on multiview geometric, 3D reconstruction. The point cloud noise due to the reconstruction is filtered out in HSV color feature space. Furthermore, the detection algorithm removes the outlier based on the standard deviation threshold, which effectively improves the accuracy and the visual effect of the 3D reconstruction. After 3D reconstruction, directed bounding box algorithm is used to calculate the shape parameters of movable cultural relics. In addition, the weighted principal component analysis (PCA) based on the density of the point cloud is used to compute the main direction of the bounding box. The proposed method was used to determine the repeatability standard deviation of shape parameter values for a porcelain vase imitation from the Yuan Dynasty. The repeatability standard deviation was less than 0.15 mm, and the maximum measurement error was less than 0.25 mm, which is higher than the measurement requirements of the shape parameters in the protection and the research of movable cultural relics.