Temat: keypoint - Katalog OPAC zbiorów

Skocz do pozycji: 1.

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

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Skocz do pozycji: 2.

Tytuł:: Vision-based positioning of electric buses for assisted docking to charging stations
Autorzy:: Nowak, Tomasz
Nowicki, Michał R.
Skrzypczyński, Piotr
Powiązania:: https://bibliotekanauki.pl/articles/2172128.pdf
Data publikacji:: 2022
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: AI transport
monocular vision
deep learning
keypoint
advanced driver assistance system
wizja jednookularowa
uczenie głębokie
punkt charakterystyczny
zaawansowany system wspomagania kierowcy
Opis:: We present a novel approach to vision-based localization of electric city buses for assisted docking to a charging station. The method assumes that the charging station is a known object, and employs a monocular camera system for positioning upon carefully selected point features detected on the charging station. While the pose is estimated using a geometric method and taking advantage of the known structure of the feature points, the detection of keypoints themselves and the initial recognition of the charging station are accomplished using neural network models. We propose two novel neural network architectures for the estimation of keypoints. Extensive experiments presented in the paper made it possible to select the MRHKN architecture as the one that outperforms state-of-the-art keypoint detectors in the task considered, and offers the best performance with respect to the estimated translation and rotation of the bus with a low-cost hardware setup and minimal passive markers on the charging station.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2022, 32, 4; 583--599
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: LEDs based video camera pose estimation
Autorzy:: Sudars, K.
Cacurs, R.
Homjakovs, I.
Judvaitis, J.
Powiązania:: https://bibliotekanauki.pl/articles/200249.pdf
Data publikacji:: 2015
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: camera pose estimation
image keypoint detection and matching
3D point reconstruction
object localization and tracking
oszacowanie ustawienia kamery
rekonstrukcja modelu 3D
lokalizacja obiektu
śledzenie obiektu
Opis:: For 3D object localization and tracking with multiple cameras the camera poses have to be known within a high precision. The paper evaluates camera pose estimation via a fundamental matrix and via the known object in environment of multiple static cameras. A special feature point extraction technique based on LED (Light Emitting Diodes) point detection and matching has been developed for this purpose. LED point detection has been solved searching local maximums in images and LED point matching has been solved involving patterned time functions for each light source. Emitting LEDs have been used as sources of known reference points instead of typically used feature point extractors like ORB, SIFT, SURF etc. In such a way the robustness of pose estimation has been obtained. Camera pose estimation is significant for object localization using the networks with multiple cameras which are going to an play increasingly important role in modern Smart Cities environments.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2015, 63, 4; 897-905
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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