A Convolution-Based Computational Technique for Subdivision Depth of Doo-Sabin Subdivision Surface. (24th September 2022)
- Record Type:
- Journal Article
- Title:
- A Convolution-Based Computational Technique for Subdivision Depth of Doo-Sabin Subdivision Surface. (24th September 2022)
- Main Title:
- A Convolution-Based Computational Technique for Subdivision Depth of Doo-Sabin Subdivision Surface
- Authors:
- Khan, Faheem
Shakoor, Bushra
Mustafa, Ghulam
Razaq, Sidra - Other Names:
- Gobithaasan R. U. Academic Editor.
- Abstract:
- Abstract : Subdivision surface schemes are used to produce smooth shapes, which are applied for modelling in computer-aided geometric design. In this paper, a new and efficient numerical technique is presented to estimate the error bound and subdivision depth of the uniform Doo-Sabin subdivision scheme. In this technique, first, a result for computing bounds between P k (a polygon at k th level) and P ∞ (limit surface) of the Doo-Sabin scheme is obtained. After this, subdivision depth (the number of iterations) is computed by using the user-defined error tolerance. In addition, the results of the proposed technique are verified by taking distinct valence numbers of the Doo-Sabin surface scheme.
- Is Part Of:
- Journal of mathematics. Volume 2022(2022)
- Journal:
- Journal of mathematics
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-09-24
- Subjects:
- Mathematics -- Periodicals
Mathematics
Periodicals
510 - Journal URLs:
- https://www.hindawi.com/journals/jmath/ ↗
http://bibpurl.oclc.org/web/74492 ↗
http://search.ebscohost.com/direct.asp?db=a9h&jid=%22FV7F%22&scope=site ↗ - DOI:
- 10.1155/2022/2510204 ↗
- Languages:
- English
- ISSNs:
- 2314-4629
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 24060.xml