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Enhancing the repeatability quality of feature detector in epipolar geometry

Kusnadi, Adhi and Winantyo, Rangga and Pane, Ivransa Zuhdi (2019) Enhancing the repeatability quality of feature detector in epipolar geometry. Utopia y Praxis Latinoamericana, 45 (5). ISSN 1315-5216

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is study discusses evaluating the repeatability quality of feature detector algorithms for image key points in epipolar geometry. Although no one has been able to examine performance in this area; hence, the necessity of conducting research based on improvement. In our method, the image format is converted into YCbCr, using only the Y channel, which is then tested with a variety of threshold values, and Weiner algorithm was applied as noise removal. erefore, to prove the effectiveness, a comparison is made with the test results before and aer method implementation, thus, verifying the success of the technique applied. Keywords: Epipolar Geometry, Feature Detector, Keypoint, Repeatability Quality.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science (Cloud, Data Processing, Interface, E-mail, Social Media, Information Architecture, Hardware, Mobile Computing)
500 Science and Mathematic > 510 Mathematics > 516 Geometry
Divisions: Fakultas Teknik Informatika > Program Studi Informatika
Depositing User: mr admin umn
Date Deposited: 05 Oct 2021 04:38
Last Modified: 05 Oct 2021 04:38

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