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http://dx.doi.org/10.9723/jksiis.2019.24.5.001

Correction Method for Measurement Failure Pixels in Depth Picture using Surface Modeling  

Lee, DongSeok (동의대학교 컴퓨터소프트웨어공학과)
Kwon, SoonKak (동의대학교 컴퓨터소프트웨어공학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.24, no.5, 2019 , pp. 1-8 More about this Journal
Abstract
In this paper, we propose a correcting method of depth pixels which are failed to measure since temporary camera error. A block is modeled to plane and sphere surfaces through measured depth pixels in the block. Depth values in the block are estimated through each modeled surface and a error for the modeled surface is calculated by comparing the original and estimated pixels, then the surface which has the least error is selected. The pixels which are failed to measure are corrected by estimating depth values through selected surface. Simulation results show that the proposed method increases the correction accuracy by an average of 20% compared with the correction method of $5{\times}5$ median method.
Keywords
Depth camera; Depth picture correction; Surface modeling;
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Times Cited By KSCI : 1  (Citation Analysis)
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