Wyniki wyszukiwania - Biblioteka Nauki

Ten serwis zostanie wyłączony 2025-02-11.

Nowa wersja platformy, zawierająca wyłącznie zasoby pełnotekstowe, jest już dostępna.
Przejdź na https://bibliotekanauki.pl

Ograniczanie wyników

Znaleziono wyników: 3

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: punkt charakterystyczny

Sortuj według:

Ogranicz wyniki do:

The method for determining the characteristic points of signatures based on IPAN99 algorithm

100%

Doroz R. , Kostorz I.

tom Vol. 15

41-46

The paper puts forward a new method of determination of signatures' characteristic points. The method is based on seeking points of the highest curvature using the IPAN99 algorithm. The way of IPAN99 algorithm parameters' automatic selection for a particular signature has been fully described. Moreover, the way of determination of additional characteristic points, important for a signatures analysis, has been shown. The presented results of carried out experiments confirm that the proposed method is useful for signature recognition and verification.

Dwa przykłady kładek typu landmark usytuowanych na obszarach miast

86%

Prabucki P. , Woźny P. , Onysyk J. , Biliszczuk J.

tom nr 1

62-63

W miastach Europy, Azji i Ameryki od wielu lat powstają interesujące kładki dla pieszych, o nietypowym ukształtowaniu. W artykule omówione zostały dwa przykłady takich obiektów, pełniących funkcje „punktu charakterystycznego”.

Vision-based positioning of electric buses for assisted docking to charging stations

72%

Nowak T. , Nowicki M. R. , Skrzypczyński P.

tom Vol. 32, no. 4

583--599

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.