| Citation: | YANG Guo-qing, WANG Li-zhong, REN Mao-dong, XU Jian-ning, ZHAO Jian-bo, WANG Sen, LI Zhuang-zhuang. Model adaptive scanning viewpoint automatic planning[J]. Chinese Optics. doi: 10.37188/CO.2024-0022
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The teaching scan is cumbersome and has poor versatility when performing scan reconstruction. The current focus of viewpoint planning is still to automatically obtain the minimum set of viewpoints covering the model. To realize automated 3D scanning and reconstruction of parts of different complexity levels, this paper studies issues such as viewpoint redundancy, viewpoint occlusion, and binocular reconstruction constraints that may occur during viewpoint planning. First, given the problem that it is difficult to completely scan the model with existing viewpoint planning, Lloyd's algorithm was improved by analyzing the characteristics of surface structured light scanning and proposed using the energy function of Euclidean distance and normal vector deviation to perform Voronoi partitioning of the model to generate Initial scanning viewpoint. Then, to address the viewpoint redundancy problem, an iterative algorithm for splitting the initial scanning viewpoints is proposed. Finally, given the problem that the generated viewpoints are prone to occlusion, a line-of-sight de-occlusion strategy is proposed, and to improve the model coverage, a method of using panning viewpoints is proposed. The experimental results show that: under the optimal number of viewpoints, the coverage rate of automobile castings and transmission housing reaches more than 94%, the coverage rate of simple curved automobile sheet metal reaches more than 99.5%, and the automatic steering knuckle of the automobile is realized. Planning scanning meets the coverage and efficiency requirements of automatic viewpoint planning and the adaptability requirements for parts of different complexity.
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