Corner Detection on hexagonal pixel based images

Si Jing Liu; SA Coleman; D Kerr; BW Scotney; B Gardiner

doi:10.1109/ICIP.2011.6115598

Corner Detection on hexagonal pixel based images

Si Jing Liu, SA Coleman, D Kerr, BW Scotney, B Gardiner

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

6 Citations (Scopus)

116 Downloads (Pure)

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.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Pages	1025-1028
Number of pages	3708
ISBN (Print)	978-1-4577-1304-0
DOIs	https://doi.org/10.1109/ICIP.2011.6115598
Publication status	Published (in print/issue) - 2011
Event	18th IEEE International Conference on Image Processing - Brussels, Belgium Duration: 1 Jan 2011 → …

Conference

Conference	18th IEEE International Conference on Image Processing
Period	1/01/11 → …

Keywords

Corner detection
Hexagonal images

Access to Document

10.1109/ICIP.2011.6115598

06115598Final published version, 469 KB

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",

publisher = "IEEE",

address = "United States",

note = "18th IEEE International Conference on Image Processing ; Conference date: 01-01-2011",

}

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

PB - IEEE

T2 - 18th IEEE International Conference on Image Processing

Y2 - 1 January 2011

ER -

Corner Detection on hexagonal pixel based images

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this