• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
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Augmented Reality Algorithm Selection Scheme for Military Multiple Image Analysis


Heouk-kyun Yoo, Jong-Moon Chung, Journal of Internet Computing and Services, Vol. 20, No. 4, pp. 55-61, Aug. 2019
10.7472/jksii.2019.20.4.55, Full Text:  HTML
Keywords: AR(Augmented Reality), Image Acquisition, Image Analysis, algorithm

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.


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Cite this article
[APA Style]
Yoo, H. & Chung, J. (2019). Augmented Reality Algorithm Selection Scheme for Military Multiple Image Analysis. Journal of Internet Computing and Services, 20(4), 55-61. DOI: 10.7472/jksii.2019.20.4.55.

[IEEE Style]
H. Yoo and J. Chung, "Augmented Reality Algorithm Selection Scheme for Military Multiple Image Analysis," Journal of Internet Computing and Services, vol. 20, no. 4, pp. 55-61, 2019. DOI: 10.7472/jksii.2019.20.4.55.

[ACM Style]
Heouk-kyun Yoo and Jong-Moon Chung. 2019. Augmented Reality Algorithm Selection Scheme for Military Multiple Image Analysis. Journal of Internet Computing and Services, 20, 4, (2019), 55-61. DOI: 10.7472/jksii.2019.20.4.55.