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http://dx.doi.org/10.5391/JKIIS.2013.23.6.527

A Relative Depth Estimation Algorithm Using Focus Measure  

Jeong, Ji-Seok (College of Electrical and Computer Engineering, Chungbuk National University)
Lee, Dae-Jong (College of Electrical and Computer Engineering, Chungbuk National University)
Shin, Yong-Nyuo (Computer Engineering, Hanyang Cyber University)
Chun, Myung-Geun (College of Electrical and Computer Engineering, Chungbuk National University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.23, no.6, 2013 , pp. 527-532 More about this Journal
Abstract
Depth estimation is an essential factor for robot vision, 3D scene modeling, and motion control. The depth estimation method is based on focusing values calculated in a series of images by a single camera at different distance between lens and object. In this paper, we proposed a relative depth estimation method using focus measure. The proposed method is implemented by focus value calculated for each image obtained at different lens position and then depth is finally estimated by considering relative distance of two patterns. We performed various experiments on the effective focus measures for depth estimation by using various patterns and their usefulness.
Keywords
Focus measures; Autofocus; Relative depth; Depth estimation; Image processing;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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