The algorithms that extract keypoints
and descriptors in augmented reality applications are getting more and more
important in terms of performance.
Criterions like time and correct matching of points gain more impact according
to the type of application. In this paper, the performance of the algorithms
used to identify an image using keypoint and descriptor extraction is studied. In the context of this research,
main criterion like the number of keypoints and descriptors that the algorithms
extract, algorithm execution time, and the quality of keypoints and descriptors
extracted are considered as the performance metrics. Same data stacks were used
for obtaining comparison results. In addition to comparisons for a group of
well-known augmented reality applications, the best performing algorithms for
varying applications were also suggested. C++ language and OpenCV library were
used for the implementation of the augmented reality algorithms compared.
Birincil Dil | Türkçe |
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Bölüm | Engineering Sciences |
Yazarlar | |
Yayımlanma Tarihi | 31 Aralık 2019 |
Gönderilme Tarihi | 25 Ekim 2019 |
Kabul Tarihi | 21 Kasım 2019 |
Yayımlandığı Sayı | Yıl 2019Cilt: 40 Sayı: 4 |