Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Roger Ripas"'
Autor:
Roger Ripas, Leandro A.F. Fernandes
Publikováno v:
Computer Vision and Image Understanding. 233:103726
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::155f608a5b5f843cd866352b3ff40871
https://doi.org/10.1016/j.cviu.2023.103726
https://doi.org/10.1016/j.cviu.2023.103726
Autor:
Claudia Cervantes-Jilaja, Raquel E. Patino-Escarcina, Dennis Barrios-Aranibar, Roger Ripas-Mamani, Elizabeth Morales-Munoz, Liz Sandra Bernedo-Flores, Hernan Humberto Alvarez Valera
Publikováno v:
ETFA
In the agro-industry automation, computer vision has become very important to the product selection and classification process. The problem becomes more challenging when it is necessary to detect defects or diseases in the product images. In literatu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e6df23b97a4b987e23a8c2dcbaa8af5
https://doi.org/10.1109/etfa.2019.8869034
https://doi.org/10.1109/etfa.2019.8869034
Autor:
Roger Ripas-Mamani, Maria Tejada-Begazo, Renato Marroquin Mogrovejo, Yessica Rosas-Cuevas, Percy W. Lovon-Ramos, Dennis Barrios-Aranibar
Publikováno v:
2016 XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium (LARS/SBR).
The need for complementing robot's autonomy behaviour with human reasoning has made robot teleoperation a research topic for more than fifty years. And while most of the research work usually deploys a master-slave architecture for controlling robots
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aefa5850bf68d4bc6a17257ea20772c8
https://doi.org/10.1109/lars-sbr.2016.57
https://doi.org/10.1109/lars-sbr.2016.57
Autor:
Roger Ripas-Mamani, Dennis Barrios-Aranibar, Yessica Rosas-Cuevas, Raquel E. Patino-Escarcina, Claudia Cervantes-Jilaja
Publikováno v:
2016 XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium (LARS/SBR).
Global vision system works with processes of sorting, recognition and identification through some external characteristics as: color, shape and size depending of specific targets. In this paper we propose a semi-automated approach to recognize the ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0994c379c3177fdbbdcecb94b4841279
https://doi.org/10.1109/lars-sbr.2016.10
https://doi.org/10.1109/lars-sbr.2016.10