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.

DOI: https://doi.org/10.1109/ICASSP.2005.1415993

URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...

Abstract

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.

Viewing alternatives

Metrics

Item Actions

Export

You can export this page using these formats Digital Object Identifier - DOI

About

• Item ORO ID
• 11426
• Item Type
• Conference or Workshop Item
• ISSN
• 1520-6149
• Academic Unit or 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)
• Depositing User
• Laurence Dooley