Improving non-uniform rational B-Splines knot removal with particle swarm optimization
Data reduction and shape accuracy are two things that come in mind when it comes to computer graphics research. One such algorithm used is Non-Uniform Rational B-splines (NURBS). The method used to reduce data in NURBS is via knot removal, which relies on an error tolerance value. This paper propose...
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| Format: | Conference or Workshop Item |
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2009
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| author | Ali, Aida Shamsuddin, S. M. Ibrahim, Abdul Rahman |
| author_facet | Ali, Aida Shamsuddin, S. M. Ibrahim, Abdul Rahman |
| author_sort | Ali, Aida |
| collection | ePrints |
| description | Data reduction and shape accuracy are two things that come in mind when it comes to computer graphics research. One such algorithm used is Non-Uniform Rational B-splines (NURBS). The method used to reduce data in NURBS is via knot removal, which relies on an error tolerance value. This paper proposes integrating Particle Swarm Optimization (PSO) to determine the error tolerance value. The approach has made determining the error tolerance value an automatic process. There is a small amount of success in implementing this method thus far. It is not a perfect solution as of yet, but it has potential to unite artificial intelligence algorithms and computer graphics in efforts to promote more avenues of research in this field. |
| first_indexed | 2024-03-05T18:29:21Z |
| format | Conference or Workshop Item |
| id | utm.eprints-15294 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:29:21Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | utm.eprints-152942020-08-30T08:46:22Z http://eprints.utm.my/15294/ Improving non-uniform rational B-Splines knot removal with particle swarm optimization Ali, Aida Shamsuddin, S. M. Ibrahim, Abdul Rahman QA75 Electronic computers. Computer science Data reduction and shape accuracy are two things that come in mind when it comes to computer graphics research. One such algorithm used is Non-Uniform Rational B-splines (NURBS). The method used to reduce data in NURBS is via knot removal, which relies on an error tolerance value. This paper proposes integrating Particle Swarm Optimization (PSO) to determine the error tolerance value. The approach has made determining the error tolerance value an automatic process. There is a small amount of success in implementing this method thus far. It is not a perfect solution as of yet, but it has potential to unite artificial intelligence algorithms and computer graphics in efforts to promote more avenues of research in this field. 2009 Conference or Workshop Item PeerReviewed Ali, Aida and Shamsuddin, S. M. and Ibrahim, Abdul Rahman (2009) Improving non-uniform rational B-Splines knot removal with particle swarm optimization. In: 6th International Conference on Computer Graphics, Imaging and Visualization, 2009, Tianjin University, China. http://dx.doi.org/10.1109/CGIV.2009.95 |
| spellingShingle | QA75 Electronic computers. Computer science Ali, Aida Shamsuddin, S. M. Ibrahim, Abdul Rahman Improving non-uniform rational B-Splines knot removal with particle swarm optimization |
| title | Improving non-uniform rational B-Splines knot removal with particle swarm optimization |
| title_full | Improving non-uniform rational B-Splines knot removal with particle swarm optimization |
| title_fullStr | Improving non-uniform rational B-Splines knot removal with particle swarm optimization |
| title_full_unstemmed | Improving non-uniform rational B-Splines knot removal with particle swarm optimization |
| title_short | Improving non-uniform rational B-Splines knot removal with particle swarm optimization |
| title_sort | improving non uniform rational b splines knot removal with particle swarm optimization |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT aliaida improvingnonuniformrationalbsplinesknotremovalwithparticleswarmoptimization AT shamsuddinsm improvingnonuniformrationalbsplinesknotremovalwithparticleswarmoptimization AT ibrahimabdulrahman improvingnonuniformrationalbsplinesknotremovalwithparticleswarmoptimization |