Depth extraction using adaptive blur channel selection for dual aperture camera

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We introduce the Dual-aperture (DA) system which is a novel camera based on depth from defocus (DFD). However, conventional method for DA system has an object color dependency problem, which comes from color transition region between objects or textures in an object. This problem is very important because it results in errors in depth map. For this reason, we propose a 2-step process to obtain the improved depth map compared to the conventional method. First is new interpolation method to align the edge in different color channel using IR channel information. Second is the process to adaptively select suitable color channel for the depth extraction. In addition, experimental results indicate that we can obtain the improved depth map only with a small amount of additional computing time, or about 1% of the computing time for the conventional method.
Publisher
Institute of Electrical and Electronics Engineers Inc.
Issue Date
2016-10
Language
English
Citation

2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016, pp.198 - 201

DOI
10.1109/APCCAS.2016.7803932
URI
http://hdl.handle.net/10203/310287
Appears in Collection
EE-Conference Papers(학술회의논문)
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