Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Surajit Saikia"'
Publikováno v:
IEEE Access, Vol 9, Pp 23218-23234 (2021)
Image representations in the form of neural activations derived from intermediate layers of deep neural networks are the state-of-the-art descriptors for instance based retrieval. However, the problem that persists consists of how to retrieve identic
Externí odkaz:
https://doaj.org/article/07cf6bf26a144f59805ecd85dd0833e8
Publikováno v:
Revista Iberoamericana de Automática e Informática Industrial RIAI, Vol 15, Iss 3, Pp 231-242 (2018)
Currently, many applications require a precise localization of the objects that appear in an image, to later process them. This is the case of visual inspection in the industry, computer-aided clinical diagnostic systems, the obstacle detection in ve
Externí odkaz:
https://doaj.org/article/223a27890f2645a59bf476bc06dbfe87
Autor:
Alberto Tellaeche Iglesias, Ignacio Fidalgo Astorquia, Juan Ignacio Vázquez Gómez, Surajit Saikia
Publikováno v:
Sensors, Vol 21, Iss 24, p 8202 (2021)
The use of gestures is one of the main forms of human machine interaction (HMI) in many fields, from advanced robotics industrial setups, to multimedia devices at home. Almost every gesture detection system uses computer vision as the fundamental tec
Externí odkaz:
https://doaj.org/article/b6b5777b2e744d8791d0d9714ae7541e
Publikováno v:
Sensors, Vol 18, Iss 5, p 1329 (2018)
Textile based image retrieval for indoor environments can be used to retrieve images that contain the same textile, which may indicate that scenes are related. This makes up a useful approach for law enforcement agencies who want to find evidence bas
Externí odkaz:
https://doaj.org/article/42b3cba05f8a4d73abc85a68a3bc7983
Publikováno v:
Neural Computing and Applications. 33:13301-13316
Texture-based instance retrieval is typically performed on images that present a single texture pattern and is mainly applied to the retrieval of fabrics or textiles. In this work, we apply it to indoor scene images that typically present many differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b4685616355d4ff07e15872a039916b
https://doi.org/10.1007/s00521-021-05955-2
https://doi.org/10.1007/s00521-021-05955-2
Publikováno v:
IEEE Access, Vol 9, Pp 23218-23234 (2021)
Image representations in the form of neural activations derived from intermediate layers of deep neural networks are the state-of-the-art descriptors for instance based retrieval. However, the problem that persists consists of how to retrieve identic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11b54e234e38b03af95f4e681eafd42d
https://ieeexplore.ieee.org/document/9344701/
https://ieeexplore.ieee.org/document/9344701/
Publikováno v:
Sensors, Vol 18, Iss 5, p 1329 (2018)
Sensors; Volume 18; Issue 5; Pages: 1329
Sensors (Basel, Switzerland)
Sensors; Volume 18; Issue 5; Pages: 1329
Sensors (Basel, Switzerland)
Textile based image retrieval for indoor environments can be used to retrieve images that contain the same textile, which may indicate that scenes are related. This makes up a useful approach for law enforcement agencies who want to find evidence bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c859fcd72fddc9cc3689a46c03865490
http://www.mdpi.com/1424-8220/18/5/1329
http://www.mdpi.com/1424-8220/18/5/1329
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] Currently, many applications require a precise localization of the objects that appear in an image, to later process them. This is the case of visual inspection in the industry, computer-aided clinical diagnostic systems, the obstacle detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1150c976ed3c26b0a1e9b734b369f2b7
