A new fast and accurate training-based auto-focus for mobile-phone cameras

Seung Yong Lee; Hyo Tae Lee; Il Yong Lee; Jong Woo Han; Sung-Jea Ko

doi:10.1109/ICCE.2011.5722939

A new fast and accurate training-based auto-focus for mobile-phone cameras

Seung Yong Lee, Hyo Tae Lee, Il Yong Lee, Jong Woo Han, Sung-Jea Ko

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	https://doi.org/10.1109/ICCE.2011.5722939
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

Fingerprint

ASJC Scopus subject areas

Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

Cite this

Lee, S. Y., Lee, H. T., Lee, I. Y., Han, J. W., & Ko, S-J. (2011). A new fast and accurate training-based auto-focus for mobile-phone cameras. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics (pp. 95-96). [5722939] https://doi.org/10.1109/ICCE.2011.5722939

Lee, SY, Lee, HT, Lee, IY, Han, JW & Ko, S-J 2011, A new fast and accurate training-based auto-focus for mobile-phone cameras. in Digest of Technical Papers - IEEE International Conference on Consumer Electronics., 5722939, pp. 95-96, 2011 IEEE International Conference on Consumer Electronics, ICCE 2011, Las Vegas, NV, United States, 11/1/9. https://doi.org/10.1109/ICCE.2011.5722939

@inproceedings{9d6b63f2ff1c4064b0788af6e815c811,

title = "A new fast and accurate training-based auto-focus for mobile-phone cameras",

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.",

author = "Lee, {Seung Yong} and Lee, {Hyo Tae} and Lee, {Il Yong} and Han, {Jong Woo} and Sung-Jea Ko",

year = "2011",

month = mar

day = "28",

doi = "10.1109/ICCE.2011.5722939",

language = "English",

isbn = "9781424487127",

pages = "95--96",

booktitle = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

note = "2011 IEEE International Conference on Consumer Electronics, ICCE 2011 ; Conference date: 09-01-2011 Through 12-01-2011",

}

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.

UR - http://www.scopus.com/inward/record.url?scp=79952918751&partnerID=8YFLogxK

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

T2 - 2011 IEEE International Conference on Consumer Electronics, ICCE 2011

Y2 - 9 January 2011 through 12 January 2011

ER -

Access to Document

10.1109/ICCE.2011.5722939