Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Joaquim de Mira"'
Autor:
Afonso H. Ribeiro, Rafael S. Rbeiro, S. R. Marcella Martins, Mathias R. Luz, M. D. Max Santos, Joaquim de Mira, Vinicios R. Soares
Publikováno v:
2018 13th IEEE International Conference on Industry Applications (INDUSCON).
Deep Learning is part of a broader family of machine learning methods based on learning data representations that is being widely deployed in autonomous vehicles with the purpose to identify and recognize objects on the environment in surroundings. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b30e74bce9de49cdb28a83c02d4efa6d
https://doi.org/10.1109/induscon.2018.8627071
https://doi.org/10.1109/induscon.2018.8627071
Publikováno v:
CVPR Workshops
With the spread of wearable cameras, many consumer applications ranging from social tagging to video summarization would greatly benefit from people re-identification methods capable of dealing with the egocentric perspective. In this regard, first-p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4673e3a710dcf7be669c1727ad644bfa
https://doi.org/10.1109/cvprw.2016.51
https://doi.org/10.1109/cvprw.2016.51
Autor:
Joaquim de Mira Júnior
Publikováno v:
Revista Gestão Industrial; v. 1, n. 1 (2005)
Revista Gestão Industrial
Universidade Tecnológica Federal do Paraná (UTFPR)
instacron:UTFPR
Revista Gestão Industrial
Universidade Tecnológica Federal do Paraná (UTFPR)
instacron:UTFPR
Uma nova abordagem baseada em operadores morfológicos é apresentada neste artigo, para aplicações de identificação biométrica de indivíduos através da segmentação e análise da íris. Para segmentar a região da íris da imagem do olho e t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70b6e015530755fae1f2ee0afb74fadf
https://doi.org/10.3895/s1808-04482005000100010
https://doi.org/10.3895/s1808-04482005000100010
Autor:
Luz, Guilherme Ferreira da
Mestrado de dupla diplomação com a UTFPR - Universidade Tecnológica Federal do Paraná The number of Internet of Things (IoT) devices is growing rapidly. It is estimated that by 2025 there will be more than 50 billion connected devices connected t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1255::040ee01f1a72d098f0327b49fc2c7a22
http://hdl.handle.net/10198/26598
http://hdl.handle.net/10198/26598
