TY  - JOUR
AU  - Marković, Veljko
AU  - Jakovljević, Živana
AU  - Budak, Igor
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/91
AB  - 3D scanning devices are traditionally employed in reverse engineering tasks that can be carried out semi-automatically, with user assistance. However, their application in manufacturing process control requires automatic point cloud segmentation and extraction of geometric primitives. In this paper, we propose a method for automatic recognition of planes and cylinders (most frequently encountered geometric primitives in mechanical engineering) from unstructured point clouds. The method is based on the scatter of data during least squares fitting of second order surfaces. It consists of three phases and the first phase represents automatic point cloud segmentation. The second phase deals with merging of over-segmented regions and surfaces parameters estimation, whereas the final phase provides extraction of recognized geometric primitives. The method is experimentally verified using three real-world case studies, and its performances are compared with two state of the art recognition algorithms. The results have shown that the proposed method outperforms alternative approaches in terms of appropriately recognized planes and cylinders without surface type confusion, as well as when the recognition of non-existent primitives is considered. In addition, the method determines surfaces parameters with high accuracy.
PB  - Springer, New York
T2  - Visual Computer
T1  - Automatic recognition of cylinders and planes from unstructured point clouds
EP  - 4352
SP  - 4329
VL  - 38
DO  - 10.1007/s00371-021-02299-9
ER  - 

@article{
author = "Marković, Veljko and Jakovljević, Živana and Budak, Igor",
year = "2022",
abstract = "3D scanning devices are traditionally employed in reverse engineering tasks that can be carried out semi-automatically, with user assistance. However, their application in manufacturing process control requires automatic point cloud segmentation and extraction of geometric primitives. In this paper, we propose a method for automatic recognition of planes and cylinders (most frequently encountered geometric primitives in mechanical engineering) from unstructured point clouds. The method is based on the scatter of data during least squares fitting of second order surfaces. It consists of three phases and the first phase represents automatic point cloud segmentation. The second phase deals with merging of over-segmented regions and surfaces parameters estimation, whereas the final phase provides extraction of recognized geometric primitives. The method is experimentally verified using three real-world case studies, and its performances are compared with two state of the art recognition algorithms. The results have shown that the proposed method outperforms alternative approaches in terms of appropriately recognized planes and cylinders without surface type confusion, as well as when the recognition of non-existent primitives is considered. In addition, the method determines surfaces parameters with high accuracy.",
publisher = "Springer, New York",
journal = "Visual Computer",
title = "Automatic recognition of cylinders and planes from unstructured point clouds",
pages = "4352-4329",
volume = "38",
doi = "10.1007/s00371-021-02299-9"
}

Marković, V., Jakovljević, Ž.,& Budak, I.. (2022). Automatic recognition of cylinders and planes from unstructured point clouds. in Visual Computer
Springer, New York., 38, 4329-4352.
https://doi.org/10.1007/s00371-021-02299-9

Marković V, Jakovljević Ž, Budak I. Automatic recognition of cylinders and planes from unstructured point clouds. in Visual Computer. 2022;38:4329-4352.
doi:10.1007/s00371-021-02299-9 .

Marković, Veljko, Jakovljević, Živana, Budak, Igor, "Automatic recognition of cylinders and planes from unstructured point clouds" in Visual Computer, 38 (2022):4329-4352,
https://doi.org/10.1007/s00371-021-02299-9 . .