Skip to main content
Communities & Collections
Browse DSpace
Statistics
English
Türkçe
Log In
Log in
New user? Click here to register.
Have you forgotten your password?
Home
Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed
Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed
Permanent URI for this community
https://hdl.handle.net/20.500.14719/1741
Browse
Search
Subcommunities and Collections
By Issue Date
By Author
By Title
By Subject
By Subject Category
Search
Subcommunities and Collections
By Issue Date
By Author
By Title
By Subject
By Subject Category
1 results
Back to results
Filters
Author
search.filters.author.Ulukaya, Sezer
search.filters.author.Karaali, Ali
1
search.filters.author.Erdem, Cigdem Eroglu
Subject
search.filters.subject.Signal processing
1
search.filters.subject.Algorithms
1
search.filters.subject.Face Detection Methods
1
search.filters.subject.Face detection methods
1
search.filters.subject.Face Detector
1
search.filters.subject.Face detector
Show more
Search subject
Submit
Browse subject tree
Date
Start
End
Submit
2012
1
Has files
1
No
Item Type
1
Publication
Type
search.filters.itemtype.Conference Paper
Reset filters
Settings
Sort By
Accessioned Date Descending
Most Relevant
Title Ascending
Date Issued Descending
Results per page
1
5
10
20
40
60
80
100
Search
Start date: 2010
×
End date: 2019
×
Type: search.filters.itemtype.Conference Paper
×
Subject: search.filters.subject.Signal processing
×
Author: search.filters.author.Ulukaya, Sezer
×
Author: search.filters.author.Karaali, Ali
×
Search Tools
Search Results
Now showing
1 - 1 of 1
No Thumbnail Available
Publication
Metadata only
Multipose face detection using Zernike moment invariants, Zernike moment deǧi̇şmezleri̇ i̇le pozdan baǧimsiz yüz tespi̇ti̇
(
2012
)
Karaali, Ali
;
Erdem, Cigdem Eroglu
;
Ulukaya, Sezer
;
Karaali, Ali, Bahçeşehir Üniversitesi, Istanbul, Turkey
;
Erdem, Cigdem Eroglu, Bahçeşehir Üniversitesi, Istanbul, Turkey
;
Ulukaya, Sezer, Bahçeşehir Üniversitesi, Istanbul, Turkey
Show more
We propose a new efficient technique for localization of faces in arbitrary images. The technique is based on segmentation of images into skin colored blobs, which is followed by computation of scale, translation and rotation invariant moment-based features to learn a statistical model of faces and non-face regions. The superiority of the method to the state-of-the-art face detection methods is its ability to detect non-frontal faces in a person independent way. Experimental results on CVL database show that the proposed algorithm gives higher true positive rates as compared to the well-known Viola-Jones face detector. © 2012 IEEE. © 2012 Elsevier B.V., All rights reserved.
Show more