Fast Corner Detection Using a Spiral Architecture

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages7
Publication statusE-pub ahead of print - 3 Nov 2016
EventIrish Machine Vision and Image Processing Conference 2016 - NUI Galway, Ireland
Duration: 3 Nov 2016 → …

Conference

ConferenceIrish Machine Vision and Image Processing Conference 2016
Period3/11/16 → …

Fingerprint

Image processing
Table lookup
Detectors

Keywords

  • Fast Image Processing
  • Spiral Architecture
  • Corner Detection
  • Lookup Table
  • Eye Tremor

Cite this

@inproceedings{0621857fe6c54116bca4b31bb2e8560e,
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 = "11",
day = "3",
language = "English",
isbn = "978-0-9934207-1-9",
booktitle = "Unknown Host Publication",

}

Fegan, J, Coleman, SA, Kerr, D & Bryan, S 2016, Fast Corner Detection Using a Spiral Architecture. in Unknown Host Publication. Irish Machine Vision and Image Processing Conference 2016, 3/11/16.

Fast Corner Detection Using a Spiral Architecture. / Fegan, John; Coleman, SA; Kerr, Dermot; Bryan, Scotney.

Unknown Host Publication. 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

ER -