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 :
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