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A Graph Theoretic Approach to Direct Processing of Sparse Unwarped Panoramic Images

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Scotney, BW, Coleman, SA and Kerr, D (2006) A Graph Theoretic Approach to Direct Processing of Sparse Unwarped Panoramic Images. In: IEEE International Conference on Image Processing (ICIP 2006), Atlanta. IEEE Signal Processing Society. 4 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1109/ICIP.2006.312604

Abstract

The use of omnidirectional cameras has had a significant impact on the success of vision systems for video surveillance and autonomous robot navigation. Typically images obtained from such cameras are transformed to sparse panoramic images that are interpolated prior to low level image processing. We present a graph theoretic approach that enables image processing techniques, principally feature extraction, to be performed directly on sparse panoramic images, avoiding the need for image interpolation. We thus aim to reduce the computational overheads of processing images arising from omnidirectional cameras, whilst retaining accuracy sufficient for application to real-time robot vision.

Item Type:Conference contribution (Paper)
Keywords:feature extraction , sparse images
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:6834
Deposited By:Professor Bryan Scotney
Deposited On:23 May 2011 15:42
Last Modified:07 Nov 2011 16:45

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