Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Elizabeth V. Cabrera"'
Autor:
Luis E. Ortiz-Fernandez, Elizabeth V. Cabrera-Avila, Bruno M. F. da Silva, Luiz M. G. Gonçalves
Publikováno v:
Sensors, Vol 21, Iss 2, p 625 (2021)
Artificial marker mapping is a useful tool for fast camera localization estimation with a certain degree of accuracy in large indoor and outdoor environments. Nonetheless, the level of accuracy can still be enhanced to allow the creation of applicati
Externí odkaz:
https://doaj.org/article/e63affb992c74033962b3a97a05de615
Autor:
Elizabeth V. Cabrera, Luis E. Ortiz, Bruno M. F. da Silva, Esteban W. G. Clua, Luiz M. G. Gonçalves
Publikováno v:
Sensors, Vol 18, Iss 9, p 3122 (2018)
We propose a versatile method for estimating the RMS error of depth data provided by generic 3D sensors with the capability of generating RGB and depth (D) data of the scene, i.e., the ones based on techniques such as structured light, time of flight
Externí odkaz:
https://doaj.org/article/ef3b9f8276854cf1b8441732ffcc44a3
Publikováno v:
2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE).
Autor:
Luiz Marcos Garcia Gonçalves, Bruno Marques Ferreira da Silva, Luis E. Ortiz-Fernandez, Elizabeth V. Cabrera-Avila
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 2
Sensors, Vol 21, Iss 625, p 625 (2021)
Sensors
Volume 21
Issue 2
Sensors, Vol 21, Iss 625, p 625 (2021)
Artificial marker mapping is a useful tool for fast camera localization estimation with a certain degree of accuracy in large indoor and outdoor environments. Nonetheless, the level of accuracy can still be enhanced to allow the creation of applicati
Autor:
Bruno Marques Ferreira da Silva, Esteban Clua, Elizabeth V. Cabrera, Luiz Marcos Garcia Gonçalves, Luis Enrique Ortiz
Publikováno v:
Sensors, Vol 18, Iss 9, p 3122 (2018)
Sensors
Volume 18
Issue 9
Sensors (Basel, Switzerland)
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Sensors
Volume 18
Issue 9
Sensors (Basel, Switzerland)
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
We propose a versatile method for estimating the RMS error of depth data provided by generic 3D sensors with the capability of generating RGB and depth (D) data of the scene, i.e., the ones based on techniques such as structured light, time of flight