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Efficient Laplacian Feature Map Pyramids in a Hexagonal Framework

Coleman, SA, Scotney, BW and Gardiner, B (2010) Efficient Laplacian Feature Map Pyramids in a Hexagonal Framework. In: IEEE International Conference on Acoustics, Speech and Signal Processing 2010, Dallas, Texas. IEEE Signal Processing Society. 4 pp. [Conference contribution]

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Abstract

A systematic design procedure is used to develop Laplacian operators that facilitate the computation of hexagonal feature map pyramids. Our focus is the development of algorithms that can operate on hexagonal images over a range of scales. We show how scalable operators can be explicitly constructed using a Gaussian neighbourhood function. We extend this approach to achieve an efficient approximation via a feature map pyramid that implicitly embodies operator scaling. In both cases we provide performance evaluation with respect to edge localisation.

Item Type:Conference contribution (Poster)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:12782
Deposited By: Dr Sonya Coleman
Deposited On:12 Apr 2010 15:49
Last Modified:22 Sep 2011 08:22

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