59990

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

Construction of the Functional Voxel Model for a Spline Curve

ISBN/ISSN: 

1613-0073

DOI: 

10.51130/graphicon-2020-2-3-52

Наименование конференции: 

  • 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020, St.Petersburg)

Наименование источника: 

  • Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020, St.Petersburg)

Обозначение и номер тома: 

Vol-2744

Город: 

  • Санкт-Петербкрг

Издательство: 

  • CEUR Workshop Proceeding

Год издания: 

2020

Страницы: 

http://ceur-ws.org/Vol-2744/paper52.pdf
Аннотация
Analytical models are the most accurate method of geometric information representation. Parameterized smooth curves cannot be used in the field of analytical geometry, which explains the necessity for finding of analytical representation of such curves. The article considered the construction of a smooth curve presented in an analytical form and some approaches to finding an analytical model for a parametric Bezier curve. А presentation of a function in the form of its functional areas was chosen as prototype of the analytical model. The selected representation formed on the basis of the De Casteljau's method of constructing the Bezier curve and set-theoretic modeling. The Rvachev functions (Rfunctions) are used as the mathematical apparatus of set-theoretic operations on function areas. The functional-voxel method makes it possible to simplify the computation of R-functional procedures. An algorithm for constructing the functional area of the Bezier curve is developed on the basis of the presented combined R-voxel approach. The obtained results allow for the conclusions about the adequacy of this approach and its development protentional to construct more complicated structures

Библиографическая ссылка: 

Толок А.В., Толок Н.Б., Сычева А.А. Construction of the Functional Voxel Model for a Spline Curve / Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020, St.Petersburg). Санкт-Петербкрг: CEUR Workshop Proceeding, 2020. Vol-2744. С. http://ceur-ws.org/Vol-2744/paper52.pdf.