Fast Corner Detection Using a Spiral Architecture

John Fegan; SA Coleman; Dermot Kerr; Scotney Bryan

Fast Corner Detection Using a Spiral Architecture

EU FP7

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	Irish Pattern Recognition and Classification Society
Number of pages	7
ISBN (Print)	978-0-9934207-1-9
Publication status	Published online - 3 Nov 2016
Event	Irish Machine Vision and Image Processing Conference 2016 - NUI Galway, Ireland Duration: 3 Nov 2016 → …

Conference

Conference	Irish Machine Vision and Image Processing Conference 2016
Period	3/11/16 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Fast Image Processing
Spiral Architecture
Corner Detection
Lookup Table
Eye Tremor

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CR Fast Corner Detection Using a Spiral ArchitectureAuthor Accepted Manuscript, 1.03 MB

Cite this

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title = "Fast Corner Detection Using a Spiral Architecture",

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.",

keywords = "Fast Image Processing, Spiral Architecture, Corner Detection, Lookup Table, Eye Tremor",

author = "John Fegan and SA Coleman and Dermot Kerr and Scotney Bryan",

year = "2016",

month = nov,

day = "3",

language = "English",

isbn = "978-0-9934207-1-9",

booktitle = "Unknown Host Publication",

publisher = "Irish Pattern Recognition and Classification Society",

address = "Ireland",

note = "Irish Machine Vision and Image Processing Conference 2016 ; Conference date: 03-11-2016",

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TY - GEN

T1 - Fast Corner Detection Using a Spiral Architecture

AU - Fegan, John

AU - Coleman, SA

AU - Kerr, Dermot

AU - Bryan, Scotney

PY - 2016/11/3

Y1 - 2016/11/3

N2 - 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.

AB - 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.

KW - Fast Image Processing

KW - Spiral Architecture

KW - Corner Detection

KW - Lookup Table

KW - Eye Tremor

UR - http://www.iprcs.org

UR - http://optics.nuigalway.ie/IMVIP2016

UR - http://www.iprcs.org

UR - http://optics.nuigalway.ie/IMVIP2016

M3 - Conference contribution

SN - 978-0-9934207-1-9

BT - Unknown Host Publication

PB - Irish Pattern Recognition and Classification Society

T2 - Irish Machine Vision and Image Processing Conference 2016

Y2 - 3 November 2016

ER -

Fast Corner Detection Using a Spiral Architecture

Abstract

Conference

UN SDGs

Keywords

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