Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Gregory Randall"'
Publikováno v:
Image Processing On Line, Vol 6, Pp 233-267 (2016)
An unsupervised method for detecting smooth contours in digital images is proposed. Following the a contrario approach, the starting point is defining the conditions where contours should not be detected: soft gradient regions contaminated by noise.
Externí odkaz:
https://doaj.org/article/f5d02e48ddd549519d2e836e7148ea55
Publikováno v:
Image Processing On Line, Vol 5, Pp 296-310 (2015)
In this article we present an algorithm for the detection of perceptually relevant alignments of points in 2D point patterns. Our algorithm is based on the a contrario detection theory. It requires no parameter tuning and has only one critical parame
Externí odkaz:
https://doaj.org/article/ea5aab47041c4a6aa877c21c8de22eea
Publikováno v:
Image Processing On Line, Vol 2, Pp 35-55 (2012)
LSD is a linear-time Line Segment Detector giving subpixel accurate results. It is designed to work on any digital image without parameter tuning. It controls its own number of false detections: On average, one false alarms is allowed per image. The
Externí odkaz:
https://doaj.org/article/69753ab5013a45e6a74c8aa754ae999e
Publikováno v:
SIAM Journal on Imaging Sciences. 15:1282-1313
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Autor:
Ariel Stassi, Marcela Tancredi, Roberto Aguirre, Alvaro Gómez, Bruno Carballido, Andrés Méndez, Sergio Beheregaray, Alejandro Fojo, Víctor Koleszar, Gregory Randall
Publikováno v:
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods.
Publikováno v:
COLIBRI
Universidad de la República
instacron:Universidad de la República
Universidad de la República
instacron:Universidad de la República
This work describes DexiNed, a Dense Extreme Inception Network for Edge Detection proposed by Xavier Soria, Edgar Riba and Angel Sappa in [IEEE Winter Conference on Applications of Computer Vision (WACV), 2020]. The network is organized in blocks tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bce72508f2d006efa6be570cfd8c940
https://www.ipol.im/pub/art/2022/423/
https://www.ipol.im/pub/art/2022/423/
Publikováno v:
COLIBRI
Universidad de la República
instacron:Universidad de la República
Universidad de la República
instacron:Universidad de la República
Este artículo está disponible en línea con materiales complementarios, software, conjuntos de datos y demostración en https://doi.org/10.5201/ipol.2022.422 This work describes the HED method for edge detection. HED uses a neural network based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24a99dfff75067d75346187926a3f89a
https://www.ipol.im/pub/art/2022/422/
https://www.ipol.im/pub/art/2022/422/
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Autor:
Sandra Alonso, Javier Calvelo, Jose Gomez-Marquez, Marcos D. Umpiérrez, Marcos I. Gimenez, Gregory Randall, María E. Castelló, Virginia Pellegrino, Anna Young, Martin Figares, Milka Radmilovich, Nikolas Albarran, Daniel Argente, Urs Gaudenz, Fernando Nicolás Acosta, Pablo M. Sedraschi, Maria I. Rehermann de Sagastizabal, Ana Carolina Pereira
Publikováno v:
COLIBRI
Universidad de la República
instacron:Universidad de la República
Universidad de la República
instacron:Universidad de la República
Global attempts to renew scientific education aim to stop the decline of young people's interest in science and technology, and to promote the development of citizens' scientific literacy for sustainable development. Among other changes, these aims r