Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Srimal Jayawardena"'
Publikováno v:
IEEE Access, Vol 2, Pp 1660-1679 (2014)
The Internet of Things (IoT) is a dynamic global information network consisting of Internet-connected objects, such as radio frequency identifications, sensors, and actuators, as well as other instruments and smart appliances that are becoming an int
Externí odkaz:
https://doaj.org/article/7ad893376d5c4ff9b03bea4f76cbb251
Publikováno v:
2021 International Conference on Data Mining Workshops (ICDMW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::798f27c6216cc8864504d727892cfad9
https://doi.org/10.1109/icdmw53433.2021.00046
https://doi.org/10.1109/icdmw53433.2021.00046
Publikováno v:
DICTA
Precision agriculture has enabled significant progress in improving yield outcomes for farmers. Recent progress in sensing and perception promises to further enhance the use of precision agriculture by allowing the detection of plant diseases and pes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93f805b785ddeefcad80d46463a5cc9c
https://doi.org/10.1109/dicta.2017.8227476
https://doi.org/10.1109/dicta.2017.8227476
Publikováno v:
DICTA
We explore an approach to use simple classification models to solve complex problems by partitioning the input domain into smaller regions that are more amenable to the classifier. For this purpose weinvestigate two variants of partitioning based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::169c8a1f9fe385aba71e4268ccaeb5f8
https://doi.org/10.1109/dicta.2015.7371293
https://doi.org/10.1109/dicta.2015.7371293
Publikováno v:
Computer Vision-ACCV 2014 Workshops ISBN: 9783319166278
ACCV Workshops (1)
ACCV Workshops (1)
Common Structure from Motion (SfM) tasks require reliable point correspondences in images taken from different views to subsequently estimate model parameters which describe the 3D scene geometry. For example when estimating the fundamental matrix fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::890c053b0f8ca1bacbf8b445ce263a32
https://doi.org/10.1007/978-3-319-16628-5_47
https://doi.org/10.1007/978-3-319-16628-5_47
Publikováno v:
DICTA
Computer vision techniques such as Structurefrom- Motion (SfM) and object recognition tend to fail on scenes with highly reflective objects because the reflections behave differently to the true geometry of the scene. Such image sequences may be trea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87587e0aa5d2374099e165e7a53e6cef
https://doi.org/10.1109/dicta.2014.7008127
https://doi.org/10.1109/dicta.2014.7008127
Publikováno v:
DICTA
The problem of segmenting a given image into coherent regions is important in Computer Vision and many industrial applications require segmenting a known object into its components. Examples include identifying individual parts of a component for pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68048f471de4d96029c6ad9f6be0512c
https://doi.org/10.1109/dicta.2011.17
https://doi.org/10.1109/dicta.2011.17
Publikováno v:
2010 25th International Conference of Image and Vision Computing New Zealand.
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision ranging from robotic vision to image analysis. Our proposed method of registering a 3D model of a known object on a given 2D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::394984f30da7ca10e32f2fad4b98b049
https://doi.org/10.1109/ivcnz.2010.6148854
https://doi.org/10.1109/ivcnz.2010.6148854