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http://dx.doi.org/10.7472/jksii.2019.20.4.55

Augmented Reality Algorithm Selection Scheme for Military Multiple Image Analysis  

Yoo, Heouk-kyun (Department of Defense Fusion Engineering, Yonsei University)
Chung, Jong-Moon (Electrical & Electronic Engineering, Yonsei University)
Publication Information
Journal of Internet Computing and Services / v.20, no.4, 2019 , pp. 55-61 More about this Journal
Abstract
In this paper, if images are acquired in all-time situations through various sensors (EO/IR, SAR, GMTI, LiDAR) used for defense purposes, the images can be analyzed and expressed in augmented reality(AR). Various algorithms are used to process images with augmented reality, and depending on the situation, it is necessary to decide which algorithms to select and use. Through the performance comparison (error rate, processing time, accuracy) of SIFT, SURF, ORB, and BRISK, the representative augmented reality algorithm, it is analyzed and proposed which augmented reality algorithm is effective to use under various situations in the defense field.
Keywords
AR(Augmented Reality); Image Acquisition; Image Analysis; Algorithm;
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