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In the reconstruction of non-rigid three dimensional (3D) point cloud image features, the image data is large, which leads to the difficulty for analysis, and the achieving process is complex. In this paper, the reconstruction method for non-rigid 3D point cloud image features based on NURBS curve is proposed to collect non-rigid 3D point cloud image data,(More)
To build the large-scale model efficiently based on RP, an optimal partition method was described with no need to extend the machine's work volume. By the proposed edge-based partitioning, the large and complex model can be decomposed into small and simple sub-models according to its structure. In this paper, the best fit loop selecting and the hierarchical(More)
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