- Tytuł:
- Comparison of keypoint detection methods for indoor and outdoor scene recognition
- Autorzy:
-
Libal, U.
Łoziuk, Ł. - Powiązania:
- https://bibliotekanauki.pl/articles/384590.pdf
- Data publikacji:
- 2017
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
machine vision
keypoint
UAVs
scene recognition - Opis:
- We describe an experimental study, based on several million video scenes, of seven keypoint detection algorithms: BRISK, FAST, GFTT, HARRIS, MSER, ORB and STAR. It was observed that the probability distributions of selected keypoints are drastically different between indoor and outdoor environments for all algorithms analyzed. This paper presents a simple method for distinguishing between indoor and outdoor environments in a video sequence. The proposed method is based on the central location of keypoints in video frames. This has lead to a universally effective indoor/outdoor environment recognition method, and may prove to be a crucial step in the design of robotic control algorithms based on computer vision, especially for autonomous mobile robots.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2017, 11, 4; 7-14
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki