Corner Detection on hexagonal pixel based images

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

4 Citations (Scopus)

Abstract

Corner detection is used in many computer vision applications that require fast and efficient feature matching. In addition, hexagonal pixel based images have been recently investigated for image capture and processing due to their ability to represent curved structures that are common in real images better than traditional rectangular pixel based images. Therefore, we present an approach to corner detection on hexagonal images and demonstrate that accuracy is comparable to well-known existing corner detectors applied to rectangular pixel based images.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages1025-1028
Number of pages3708
DOIs
Publication statusPublished - 2011
Event18th IEEE International Conference on Image Processing - Brussels, Belgium
Duration: 1 Jan 2011 → …

Conference

Conference18th IEEE International Conference on Image Processing
Period1/01/11 → …

Fingerprint

Pixels
Computer vision
Detectors
Processing

Keywords

  • Corner detection
  • Hexagonal images

Cite this

@inproceedings{abbebdb0ede3485581b0de583f55e219,
title = "Corner Detection on hexagonal pixel based images",
abstract = "Corner detection is used in many computer vision applications that require fast and efficient feature matching. In addition, hexagonal pixel based images have been recently investigated for image capture and processing due to their ability to represent curved structures that are common in real images better than traditional rectangular pixel based images. Therefore, we present an approach to corner detection on hexagonal images and demonstrate that accuracy is comparable to well-known existing corner detectors applied to rectangular pixel based images.",
keywords = "Corner detection, Hexagonal images",
author = "Liu, {Si Jing} and SA Coleman and D Kerr and BW Scotney and B Gardiner",
year = "2011",
doi = "10.1109/ICIP.2011.6115598",
language = "English",
isbn = "978-1-4577-1304-0",
pages = "1025--1028",
booktitle = "Unknown Host Publication",

}

Liu, SJ, Coleman, SA, Kerr, D, Scotney, BW & Gardiner, B 2011, Corner Detection on hexagonal pixel based images. in Unknown Host Publication. pp. 1025-1028, 18th IEEE International Conference on Image Processing, 1/01/11. https://doi.org/10.1109/ICIP.2011.6115598

Corner Detection on hexagonal pixel based images. / Liu, Si Jing; Coleman, SA; Kerr, D; Scotney, BW; Gardiner, B.

Unknown Host Publication. 2011. p. 1025-1028.

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

TY - GEN

T1 - Corner Detection on hexagonal pixel based images

AU - Liu, Si Jing

AU - Coleman, SA

AU - Kerr, D

AU - Scotney, BW

AU - Gardiner, B

PY - 2011

Y1 - 2011

N2 - Corner detection is used in many computer vision applications that require fast and efficient feature matching. In addition, hexagonal pixel based images have been recently investigated for image capture and processing due to their ability to represent curved structures that are common in real images better than traditional rectangular pixel based images. Therefore, we present an approach to corner detection on hexagonal images and demonstrate that accuracy is comparable to well-known existing corner detectors applied to rectangular pixel based images.

AB - Corner detection is used in many computer vision applications that require fast and efficient feature matching. In addition, hexagonal pixel based images have been recently investigated for image capture and processing due to their ability to represent curved structures that are common in real images better than traditional rectangular pixel based images. Therefore, we present an approach to corner detection on hexagonal images and demonstrate that accuracy is comparable to well-known existing corner detectors applied to rectangular pixel based images.

KW - Corner detection

KW - Hexagonal images

U2 - 10.1109/ICIP.2011.6115598

DO - 10.1109/ICIP.2011.6115598

M3 - Conference contribution

SN - 978-1-4577-1304-0

SP - 1025

EP - 1028

BT - Unknown Host Publication

ER -