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http://dx.doi.org/10.20465/KIOTS.2020.6.2.037

A Study on the Multi-Laser Image Tracking Method using the Latest Approach Angle  

Jo, Jin-Pyo (Dept of Computer Engineering, Hanbat University)
Ko, Ho-Jeong (Dept of Information and Communication System, Korea Polytechnics)
Kim, Jeong-Ho (Dept of Computer Engineering, Hanbat University)
Publication Information
Journal of Internet of Things and Convergence / v.6, no.2, 2020 , pp. 37-43 More about this Journal
Abstract
The paper proposed the method of calculating the latest approach angle that can reliably recognize multiple laser images even with the change in separation distance between screen and laser launch device. This method recognizes the angle of the laser pattern angle by using the distance of the laser pattern angle, and the angle extraction of the laser detects the laser image from the acquired image using the labeling algorithm, and performs the huff conversion to extract the angle of the straight line. The distance of the reference angle and angle of the laser image extracted using Euclidean distance among similarity scales is calculated, and the furnace is recognized using the calculated distance result value. Experiments with changing the separation distance to "200 cm to 400 cm" showed 100% recognition of individual strands at all separation distances. The experiment confirmed the reliability of the proposed method.
Keywords
IoT; MVS; Simulated shooting system; screen shooting system; laser image processing;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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