Concurrent Edge and Corner Detection

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

7 Citations (Scopus)

Abstract

To enable fast reliable feature matching or tracking in scenes, features need to be discrete and meaningful, and hence corner detection is often used for this purpose. However, to obtain a higher level description of an image, such as identification of objects, additional information such as edges is required, and more recently detectors have been proposed that find both edges and corners. We present a combined operator, enabling edge and corner detection to be achieved concurrently. We demonstrate that accuracy is comparable to well-known existing corner detectors and edge detectors, and, as standard post-smoothing of the corner map is not required, significantly reduced computation time can be achieved.
LanguageEnglish
Title of host publicationUnknown Host Publication
PagesV-273
Number of pages4
DOIs
Publication statusPublished - Sep 2007
EventIEEE International Conference on Image Processing (ICIP 2007) - San Antonio, Texas
Duration: 1 Sep 2007 → …

Conference

ConferenceIEEE International Conference on Image Processing (ICIP 2007)
Period1/09/07 → …

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Detectors

Keywords

  • corner detection
  • edge detection
  • feature matching

Cite this

@inproceedings{3bb526eb4cdb4f2284e77156f88273d0,
title = "Concurrent Edge and Corner Detection",
abstract = "To enable fast reliable feature matching or tracking in scenes, features need to be discrete and meaningful, and hence corner detection is often used for this purpose. However, to obtain a higher level description of an image, such as identification of objects, additional information such as edges is required, and more recently detectors have been proposed that find both edges and corners. We present a combined operator, enabling edge and corner detection to be achieved concurrently. We demonstrate that accuracy is comparable to well-known existing corner detectors and edge detectors, and, as standard post-smoothing of the corner map is not required, significantly reduced computation time can be achieved.",
keywords = "corner detection, edge detection, feature matching",
author = "SA Coleman and D Kerr and BW Scotney",
year = "2007",
month = "9",
doi = "10.1109/ICIP.2007.4379818",
language = "English",
pages = "V--273",
booktitle = "Unknown Host Publication",

}

Coleman, SA, Kerr, D & Scotney, BW 2007, Concurrent Edge and Corner Detection. in Unknown Host Publication. pp. V-273, IEEE International Conference on Image Processing (ICIP 2007), 1/09/07. https://doi.org/10.1109/ICIP.2007.4379818

Concurrent Edge and Corner Detection. / Coleman, SA; Kerr, D; Scotney, BW.

Unknown Host Publication. 2007. p. V-273.

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

TY - GEN

T1 - Concurrent Edge and Corner Detection

AU - Coleman, SA

AU - Kerr, D

AU - Scotney, BW

PY - 2007/9

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N2 - To enable fast reliable feature matching or tracking in scenes, features need to be discrete and meaningful, and hence corner detection is often used for this purpose. However, to obtain a higher level description of an image, such as identification of objects, additional information such as edges is required, and more recently detectors have been proposed that find both edges and corners. We present a combined operator, enabling edge and corner detection to be achieved concurrently. We demonstrate that accuracy is comparable to well-known existing corner detectors and edge detectors, and, as standard post-smoothing of the corner map is not required, significantly reduced computation time can be achieved.

AB - To enable fast reliable feature matching or tracking in scenes, features need to be discrete and meaningful, and hence corner detection is often used for this purpose. However, to obtain a higher level description of an image, such as identification of objects, additional information such as edges is required, and more recently detectors have been proposed that find both edges and corners. We present a combined operator, enabling edge and corner detection to be achieved concurrently. We demonstrate that accuracy is comparable to well-known existing corner detectors and edge detectors, and, as standard post-smoothing of the corner map is not required, significantly reduced computation time can be achieved.

KW - corner detection

KW - edge detection

KW - feature matching

U2 - 10.1109/ICIP.2007.4379818

DO - 10.1109/ICIP.2007.4379818

M3 - Conference contribution

SP - V-273

BT - Unknown Host Publication

ER -