Introduction to Univariate Subdivision Schemes For Noisy Data

Published in Journal

Journal of Advances and Scholarly Researches in Allied Education [JASRAE] (Vol:15/ Issue: 5) DOI: 10.29070/JASRAE
Authors: Arun Kumar*,
Subjects: Multidisciplinary Academic Research

Year: Jul, 2018
Volume: 15 / Issue: 5
Pages: 463 - 465 (3)
Publisher: Ignited Minds Journals
Source:
E-ISSN: 2230-7540
DOI:
Published URL: http://ipublisher.in/p/109745
Published On: Jul, 2018

Article Details

Introduction to Univariate Subdivision Schemes for Noisy Data | Original Article

Arun Kumar*, in Journal of Advances and Scholarly Researches in Allied Education | Multidisciplinary Academic Research

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ABSTRACT:

We introduce and analyse univariate, linear and stationary subdivision schemes for refining noisy data by using geometrical applications. Sub divisions schemes are presented that are based on univariate polynomials. Subdivision is a process of recursively refining discrete data using a set of subdivision rules (called subdivision scheme) which generates a continuous or even smooth limit. Subdivision schemes are multi-resolution methods used in computer-aided geometric design to generate smooth curves or surfaces.