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Enhanced Bezier curve models incorporating local information

Sohel, F. A.; Karmakar, G. C.; Dooley, L. S. and Arkinsall, J. (2005). Enhanced Bezier curve models incorporating local information. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’05), 18-23 Mar 2005, Philadelphia.

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The Bezier curve is fundamental to many challenging and practical applications, ranging from computer aided geometric design and postscript font representations through to generic object shape descriptors and surface representation. A drawback of the Bezier curve however, is that it only considers global information about the control points, so there is often a large gap between the curve and its control polygon, leading to considerable error in curve representations. To address this issue, this paper presents enhanced Bezier curve (EBC) models which seamlessly incorporate local information. The performance of the models is empirically evaluated upon a number of natural and synthetic objects having arbitrary shape and both qualitative and quantitative results confirm the superiority of both EBC models in comparison with the classical Bezier curve representation, with no increase in the order of computational complexity.

Item Type: Conference or Workshop Item
ISSN: 1520-6149
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 11426
Depositing User: Laurence Dooley
Date Deposited: 20 Aug 2008 10:20
Last Modified: 08 Dec 2018 19:38
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