Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Joint utilization of appearance and geometry for scene logo retrieval
Date
2010-11-12
Author
Soysal, Medeni
Alatan, Abdullah Aydın
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
13
views
0
downloads
Cite This
A novel approach, involving the comparison of appearance and geometrical similarity of local patterns simultaneously via a combined description is presented. The proposed algorithm proved itself in scene logo retrieval domain, where significant appearance changes, especially due to affine transformations take place. © 2011 Springer Science+Business Media B.V.
Subject Keywords
geometrical descriptors
,
local descriptors
,
Scene logo detection
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651582591&origin=inward
https://hdl.handle.net/11511/106850
DOI
https://doi.org/10.1007/978-90-481-9794-1_58
Conference Name
25th International Symposium on Computer and Information Sciences, ISCIS 2010
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Soysal and A. A. Alatan, “Joint utilization of appearance and geometry for scene logo retrieval,” London, İngiltere, 2010, vol. 62 LNEE, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651582591&origin=inward.
