Increasing the Efficiency of Constructing 3D Models of Objects by Using a High-Speed Digital Filter

Статья в сборнике трудов конференции

The work is devoted to increasing the efficiency of constructing 3D models of objects, using human organs as an example, through the use of preprocessing of the initial data with a high-speed digital filter. The high-speed recursive-separable digital Laplacian filter “truncated pyramid”, previously developed by the authors, was taken as a filter. This filter, through the use of the properties of recursion and separability, reduces the amount of computational costs required for the processing process, however, there is a factor that slows down its operation, its sequential operating algorithm. In the work, the authors modified the structure of the algorithm from sequential to parallel, displaying the basic principles of operation of the parallel architecture of the recursive-separable Laplacian filter “truncated pyramid” for processing images used to build 3D models of objects. After conducting experimental studies, including testing the architecture on source images and comparing performance with an existing sequential algorithm, results were obtained that confirmed the effectiveness and applicability of the developed architecture to reduce computational costs. Test objects were constructed without processing and with processing with a modified filter, from which visually and due to the increase in the number of points used to form a dense point cloud, it is clear that the generated 3D models have increased their quality.

Библиографическая запись: D. A. Grebenshchikova and A. V. Kamenskiy, "Increasing the Efficiency of Constructing 3D Models of Objects by Using a High-Speed Digital Filter," 2024 IEEE 3rd International Conference on Problems of Informatics, Electronics and Radio Engineering (PIERE), Novosibirsk, Russian Federation, 2024, pp. 670-673, doi: 10.1109/PIERE62470.2024.10804872.

Конференция:

• IEEE 3rd International Conference on Problems of Informatics, Electronics and Radio Engineering (PIERE)
• Россия, Новосибирская область, Новосибирск, 15-17 ноября 2024,
• Международная

Издательство:

IEEE. Новосибирский государственный технический университет

Россия, Новосибирская область, Новосибирск