DocumentCode
2646995
Title
A new fast and accurate training-based auto-focus for mobile-phone cameras
Author
Lee, Seung-Yong ; Lee, Hyo-Tae ; Lee, Il-Yong ; Han, Jong-Woo ; Ko, Sung-Jea
Author_Institution
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
fYear
2011
fDate
9-12 Jan. 2011
Firstpage
95
Lastpage
96
Abstract
In this paper, we propose a fast and accurate auto-focusing method for mobile phone cameras. The proposed method first extracts a feature vector consisting of the focus value increment ratios at the predefined lens positions. Then, the best in-focus lens position is estimated by comparing the input feature vector and the training database. Experimental results show that the proposed method is superior to the conventional methods in terms of the searching speed.
Keywords
cameras; feature extraction; mobile handsets; optical focusing; feature vector extraction; focus value increment ratio; in-focus lens position; mobile phone cameras; training-based auto-focus; Cameras; Databases; Feature extraction; Lenses; Sensors; Support vector machine classification; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ICCE), 2011 IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
2158-3994
Print_ISBN
978-1-4244-8711-0
Type
conf
DOI
10.1109/ICCE.2011.5722939
Filename
5722939
Link To Document