MATEC Web Conf.
Volume 239, 2018Siberian Transport Forum - TransSiberia 2018
|Number of page(s)||10|
|Section||Mechanical and Energy Transport Systems|
|Published online||27 November 2018|
Comparative analysis of methods for keypoint detection in images with different illumination level
1 Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya, 29, St. Petersburg, 195251, Russia
2 Tyumen Industrial University, Volodarskogo str., 38, Tyumen, 625000, Russia
* Corresponding author: email@example.com
This article presents a comparative analysis of methods for keypoint detection that is a part of the research on the development of a surround camera system for large vehicles. Since the night time is the most dangerous for driving and the most difficult for image stitching, particular attention will be given to keypoint detection and image stitching in low light conditions. A comparative analysis of methods for keypoint detection has been made, a relevant technique has been developed and a series of experiments has been conducted to detect keypoints using the SURF, MSER, BRISK, Harris, FAST, and MinEigen methods. During the research, a search for identical keypoints for a pair of images, an analysis of their number and different methods of image stitching at different illumination levels were carried out. The results of the experiments are shown in graphs and tables.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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