DocumentCode
3081543
Title
Intelligent autofocus with adaptive depth of field
Author
Pu-Chuan Kang ; Huei-Yung Lin
Author_Institution
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
fYear
2015
fDate
18-22 May 2015
Firstpage
463
Lastpage
466
Abstract
In this paper, we propose a technique for multiregion autofocusing. The objective is to make the objects of interest at the different distance locations well focused while maintaining the shallow depth of field. Based on the image sharpness analysis of interested regions, we determine the camera´s best lens position and largest aperture size such that the depth of field encompasses all objects selected by the user. Thus, in addition to emphasize the objects of interest in photography, our method can also reduce the exposure for image stabilization. Experiments with real scene images are presented.
Keywords
cameras; digital photography; focusing; image processing; photography; aperture size; camera best lens position; image sharpness analysis; image stabilization; intelligent autofocus; multiregion autofocusing; photography; Apertures; Digital cameras; Focusing; Image edge detection; Lenses;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Vision Applications (MVA), 2015 14th IAPR International Conference on
Conference_Location
Tokyo
Type
conf
DOI
10.1109/MVA.2015.7153111
Filename
7153111
Link To Document