Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Daniel Balbino"'
Autor:
Daniel Balbino de Mesquita, Erickson R. Nascimento, Douglas G. Macharet, Ronaldo F. dos Santos, Mario F. M. Campos
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 17:1455-1459
Different applications in remote sensing, such as crop monitoring and visual surveillance, demand the automatic detection of changes from sets of images acquired over time. Most traditional approaches use satellite imagery, which, besides the known i
Publikováno v:
SIBGRAPI
The emergence of low cost sensors capable of providing texture and depth information of a scene is enabling the deployment of several applications such as gesture and object recognition and three-dimensional reconstruction of environments. However, c
Autor:
William Robson Schwartz, Erickson R. Nascimento, Marco Túlio Alves N. Rodrigues, Daniel Balbino
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319257501
CIARP
CIARP
Detecting changes in aerial images acquired from a scene at different times, possibly with different cameras and at different view points, is a crucial step for many image processing and computer vision applications, such as remote sensing, visual su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6a94b023a89bd19f1c72466f83158b3
https://doi.org/10.1007/978-3-319-25751-8_15
https://doi.org/10.1007/978-3-319-25751-8_15
Autor:
William Robson Schwartz, Erickson R. Nascimento, Gabriel L. Oliveira, Mario F. M. Campos, Daniel Balbino de Mesquita, Antonio W. Veira
Publikováno v:
SIBGRAPI
This work proposes a novel RGB-D feature descriptor called Binary Appearance and Shape Elements (BASE) that efficiently combines intensity and shape information to improve the discriminative power and enable an enhanced and faster matching process. T
Autor:
Renato Florentino Garcia, Vilar Fiuza da Camara Neto, Daniel Balbino de Mesquita, Mario F. M. Campos
Publikováno v:
SIBGRAPI
In this paper we present a planar fiducial marker system to be used with color cameras. Our system provides precise and robust full 3D pose estimation of the markers with superior accuracy when compared with many fiducial systems, while color informa
Autor:
William Robson Schwartz, Marco Túlio Alves N. Rodrigues, Erickson R. Nascimento, Daniel Balbino de Mesquita
Publikováno v:
Journal of Electronic Imaging. 25:013001
In several image processing applications, discovering regions that have changed in a set of images acquired from a scene at different times and possibly from different viewpoints plays a very important role. Remote sensing, visual surveillance, medic
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Mario F. M. Campos, Renato Florentino Garcia, Vilar Fiuza da Camara Neto, Daniel Balbino de Mesquita
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 26:1265002
In this paper we present an improved color-based planar fiducial marker system. Our framework provides precise and robust full 3D pose estimation of markers with superior accuracy when compared with many fiducial systems in the literature, while colo
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.