Abstract
The paper presents the results of the elaboration of algorithms of image segmentation and segmentation of the surface based on the calculation of the local geometric properties of the surface (the method of the segmentation of the point cloud obtained at the stage of rough scanning of the surface). The problem of reconstructing a surface from a spontaneous point cloud has been solved to create a CAD model based on laser based scan data of the object. The development of the method of automatic reconstruction of accurate and piecewise smooth surfaces from spontaneous 3D-points were carried out for designing an automatic system of path planning for an industrial robot manipulator. The proposed procedure of automatic segmentation is based on the local analysis of the Gaussian K and mean H curvatures, obtained by applying a non-parametric analytical model.
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Acknowledgment
The study has been conducted with financial support of the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan within the project AP05130525 “The intelligent robotic system for plasma processing and cutting of large-size products of complex shape”.
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Alontseva, D., Krasavin, A., Kadyroldina, A., Kussaiyn-Murat, A. (2019). Segmentation Algorithm for Surface Reconstruction According to Data Provided by Laser-Based Scan Point. In: Shokin, Y., Shaimardanov, Z. (eds) Computational and Information Technologies in Science, Engineering and Education. CITech 2018. Communications in Computer and Information Science, vol 998. Springer, Cham. https://doi.org/10.1007/978-3-030-12203-4_1
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DOI: https://doi.org/10.1007/978-3-030-12203-4_1
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