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http://dx.doi.org/10.5909/JBE.2019.24.2.281

3D Depth Estimation by a Single Camera  

Kim, Seunggi (Dept. of Electronics and Computer Engineering, Chonnam National University)
Ko, Young Min (Dept. of Electronics and Computer Engineering, Chonnam National University)
Bae, Chulkyun (Dept. of Electronics and Computer Engineering, Chonnam National University)
Kim, Dae Jin (Dept. of Electronics and Computer Engineering, Chonnam National University)
Publication Information
Journal of Broadcast Engineering / v.24, no.2, 2019 , pp. 281-291 More about this Journal
Abstract
Depth from defocus estimates the 3D depth by using a phenomenon in which the object in the focal plane of the camera forms a clear image but the object away from the focal plane produces a blurred image. In this paper, algorithms are studied to estimate 3D depth by analyzing the degree of blur of the image taken with a single camera. The optimized object range was obtained by 3D depth estimation derived from depth from defocus using one image of a single camera or two images of different focus of a single camera. For depth estimation using one image, the best performance was achieved using a focal length of 250 mm for both smartphone and DSLR cameras. The depth estimation using two images showed the best 3D depth estimation range when the focal length was set to 150 mm and 250 mm for smartphone camera images and 200 mm and 300 mm for DSLR camera images.
Keywords
Depth from Defocus; Focus Distance of Camera; 3D Depth Estimation; Depth Camera;
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