Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2626
Title: T-spline local refinement as a belief revision system: a rule-based implementation
Authors: Abbas, Abdulwahed
Nasri, Ahmad H
Affiliations: Department of Computer Science 
Keywords: T-spline surfaces
Local refinement
Belief revision
Rule-based systems
Issue Date: 2017
Part of: Journal of computer-aided design and applications
Volume: 14
Issue: 5
Start page: 622
End page: 631
Abstract: 
As originally conceived, T-splines generalize both NURBS and Subdivision surfaces. Central to T-splines is the knot refinement algorithm, which seems to successfully import the local characteristic of B-spline and NURBS curve knot insertion. However, the mathematical decisiveness manifested in curve knot insertion is nowhere to be seen in previously published versions of T-spline local refinement. In this respect, this paper gives a tutorial exposition of T-spline local refinement, interpreted in the spirit of a belief-revision metaphor. It also provides a detailed implementation of that, designed following the architecture of rule-based systems. Both of these are classical topics in traditional Artificial Intelligence Research.
URI: https://scholarhub.balamand.edu.lb/handle/uob/2626
DOI: 10.1080/16864360.2016.1273579
Ezproxy URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Computer Science

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