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.
| Original language | English |
|---|---|
| Title of host publication | Digest of Technical Papers - IEEE International Conference on Consumer Electronics |
| Pages | 95-96 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2011 Mar 28 |
| Event | 2011 IEEE International Conference on Consumer Electronics, ICCE 2011 - Las Vegas, NV, United States Duration: 2011 Jan 9 → 2011 Jan 12 |
Other
| Other | 2011 IEEE International Conference on Consumer Electronics, ICCE 2011 |
|---|---|
| Country | United States |
| City | Las Vegas, NV |
| Period | 11/1/9 → 11/1/12 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
Cite this
A new fast and accurate training-based auto-focus for mobile-phone cameras. / Lee, Seung Yong; Lee, Hyo Tae; Lee, Il Yong; Han, Jong Woo; Ko, Sung-Jea.
Digest of Technical Papers - IEEE International Conference on Consumer Electronics. 2011. p. 95-96 5722939.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - A new fast and accurate training-based auto-focus for mobile-phone cameras
AU - Lee, Seung Yong
AU - Lee, Hyo Tae
AU - Lee, Il Yong
AU - Han, Jong Woo
AU - Ko, Sung-Jea
PY - 2011/3/28
Y1 - 2011/3/28
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=79952918751&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2011.5722939
DO - 10.1109/ICCE.2011.5722939
M3 - Conference contribution
AN - SCOPUS:79952918751
SN - 9781424487127
SP - 95
EP - 96
BT - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ER -