| Field |
Value |
Language |
|
dc.contributor.author |
He, S
https://orcid.org/0000-0001-8962-540X
|
en_US |
|
dc.contributor.author |
Li, J |
en_US |
|
dc.contributor.author |
Jia, W
https://orcid.org/0000-0002-0940-3338
|
en_US |
|
dc.contributor.author |
Wu, Q
https://orcid.org/0000-0001-5641-2483
|
en_US |
|
dc.contributor.author |
Hintz, TB |
en_US |
|
dc.contributor.editor |
Miyazaki, T |
en_US |
|
dc.contributor.editor |
Paik, I |
en_US |
|
dc.contributor.editor |
Wei, D |
en_US |
|
dc.date |
2007-10-16 |
en_US |
|
dc.date.issued |
2007-01 |
en_US |
|
dc.identifier.citation |
Proceedings of 7th IEEE International Conference on Computer and Information Technology, 2007, pp. 639 - 644 |
en_US |
|
dc.identifier.isbn |
978-0-7695-2983-7 |
en_US |
|
dc.identifier.uri |
http://hdl.handle.net/10453/2612
|
|
|
dc.description.abstract |
Local binary pattern (LBP) was designed and widely used for efficient texture classification. It has been used for face recognition and has potential applications in many other research areas such as human detection. LBP provides a simple and effective way to represent patterns. Uniform LBPs play an important role for LBP-based pattern /object recognition as they include majority of LBPs. In this paper, we present LBP codes on hexagonal image structure. We show that LBPs defined on hexagonal structure have higher percentages of uniform LBPs that will lead to a more efficient and accurate recognition scheme for image classification. |
en_US |
|
dc.publisher |
IEEE |
en_US |
|
dc.relation |
http://purl.org/au-research/grants/arc/DP0451666
|
|
|
dc.relation.ispartof |
Proceedings of 7th IEEE International Conference on Computer and Information Technology |
en_US |
|
dc.relation.ispartof |
IEEE International Conference on Computer and Information Technology |
en_US |
|
dc.relation.isbasedon |
10.1109/CIT.2007.46 |
en_US |
|
dc.rights |
© 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
en_US |
|
dc.title |
Local Binary Patterns on Hexagonal Image Structure |
en_US |
|
dc.type |
Conference Proceeding |
|
|
utslib.location |
USA |
en_US |
|
utslib.location.activity |
Aizu-Wakamatsu City, Fukushima, Japan |
en_US |
|
utslib.for |
080106 Image Processing |
en_US |
|
utslib.for |
080104 Computer Vision |
en_US |
|
dc.location.activity |
Aizu-Wakamatsu City, Fukushima, Japan |
en_US |
|
pubs.embargo.period |
Not known |
en_US |
|
pubs.organisational-group |
/University of Technology Sydney |
|
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Engineering and Information Technology |
|
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering |
|
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership |
|
|
pubs.organisational-group |
/University of Technology Sydney/Strength - CRIN - Realtime Information Networks |
|
|
pubs.organisational-group |
/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies |
|
|
pubs.organisational-group |
/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications |
|
|
utslib.copyright.status |
open_access |
|
|
pubs.consider-herdc |
true |
en_US |
|
pubs.place-of-publication |
USA |
en_US |
|
pubs.start-date |
2007-10-16 |
en_US |
