Depth from Defocus applied to Auto Focus

Author

Yasugi, S. ; Khang Nguyen ; Ezawa, K. ; Kawamura, T.

Author_Institution

AVC Technol. Dev. Center, AVC Networks Co., Kadoma, Japan

fYear

2014

fDate

7-10 Oct. 2014

Firstpage

171

Lastpage

173

Abstract

Depth from Defocus (DFD) is known as the technology which is able to estimate depth in the scene by a monocular camera without any additive devices. Using this advantage of DFD, we improved the speed of Auto Focus (AF). To apply DFD to AF, it is necessary to capture 2 images that have a small amount of “difference in focal positions” (we call DiFP). In this paper, we show the performance of the depth estimation when the DiFP is changed, and verify that Low Pass Filter is a good solution to get robust depth.

Keywords

cameras; image capture; low-pass filters; additive devices; auto focus speed; depth estimation; depth from defocus technology; focal positions; low pass filter; monocular camera; Accuracy; Cameras; Estimation; Lenses; Noise; Robustness; Auto Focus; Depth from Defocus; depth estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (GCCE), 2014 IEEE 3rd Global Conference on

Conference_Location

Tokyo

Type

conf

DOI

10.1109/GCCE.2014.7031237

Filename

7031237

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=256963