An Art Design Approach Based on Point Cloud Model Technology

This paper focuses on the analysis and improvement of K-Neighborhood search of point cloud model, local detail extraction of point cloud model and fusion and transition technology between point cloud models. Through the steps of point cloud scaling, RBF surface reconstruction, segmentation of point cloud to form transition region and uniform resampling of transition region, and the transition point cloud are generated, so the point cloud distribution can be uniform and consistent with the density of the point cloud to be fused. By the method of fusion design, various segmentation and combination of different art models are realized, and it is realized in the file management, view management, data management and other modules of CAD. The final test results show that the effectiveness and robustness of this scheme is of great significance to improve the efficiency and quality of art design.