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A dynamic Bezier curve model

Sohel, F. A.; Dooley, L . S. and Karmakar, G. C. (2005). A dynamic Bezier curve model. In: IEEE International Conference on Image Processing (ICIP’05), 11-14 Sep . 2005, Genoa.

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Bezier curves (BC) are fundamental to a wide range of applications from computer-aided design through to object shape descriptions and surface mapping. Since BC only consider global information with respect to their control points, this can lead to erroneous shape representations, though integrating local control point information minimises this error. This paper presents a new dynamic Bezier curve (DBC) model which combines both localised and global shape information by making a parametric shift of the BC points in the gap between the curve and its control polygon. The value of the shifting parameter is dynamically determined for a prescribed maximum distortion. DBC retains the kernel properties of the BC without increasing computational complexity order. The model's performance has been empirically evaluated on a number of arbitrary-shaped objects from geometric modelling to shape coding. Both qualitative and quantitative results confirm the improvement achieved compared with the classical BC representation.

Item Type: Conference or Workshop Item
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: 10583
Depositing User: Laurence Dooley
Date Deposited: 15 Apr 2008
Last Modified: 07 Dec 2018 09:10
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