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Fast Corner Detection Using a Spiral Architecture

Fegan, John, Coleman, SA, Kerr, Dermot and Bryan, Scotney (2016) Fast Corner Detection Using a Spiral Architecture. In: Irish Machine Vision and Image Processing Conference 2016, NUI Galway, Ireland. Irish Pattern Recognition and Classification Society. 7 pp. [Conference contribution]

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URL: https://www.scss.tcd.ie/disciplines/statistics/IPRCS/index.php?option=com_content&view=section&layout=blog&id=4&Itemid=16

Abstract

Fast image processing is a key element in achieving real-time image and video analysis. Here, a novel framework based on a spiral architecture is used to facilitate fast image processing, in particular, fast corner detection. Unlike a conventional image addressing scheme where the picture elements are indexed using two-dimensional Cartesian coordinates, a spiral addressing scheme enables the image to be stored and indexed as a one-dimensional vector. Image processing is hastened through the combined use of the one-dimensional structure and a lookup table. The performance is evaluated by the application of a corner detector based on the Harris corner detection algorithm. The results demonstrate the efficiency of the proposed approach compared with a typical two-dimensional implementation.

Item Type:Conference contribution (Paper)
Keywords:Fast Image Processing, Spiral Architecture, Corner Detection, Lookup Table, Eye Tremor
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 > Intelligent Systems Research Centre
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:36104
Deposited By: Dr Dermot Kerr
Deposited On:17 Feb 2017 10:53
Last Modified:17 Oct 2017 16:26

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