Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Karol Matusiak"'
Publikováno v:
IET Computer Vision, Vol 11, Iss 7, Pp 507-516 (2017)
The authors present the results of a comparative performance study of algorithms for detecting keypoints in digital images. The Harris, good features to track (GFTT), SIFT, SURF, FAST, ORB, BRISK, and the MSER keypoint detectors were tested using two
Externí odkaz:
https://doaj.org/article/6e6451e843db489aabe04216e564bdeb
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 64, Iss No 3 (2018)
Keypoint detection is a basic step in many computer vision algorithms aimed at recognition of objects, automatic navigation and analysis of biomedical images. Successful implementation of higher level image analysis tasks, however, is conditioned by
Externí odkaz:
https://doaj.org/article/c6067370a2fa4aa8be8f5c9ab3734010
Publikováno v:
IET Computer Vision. 11:507-516
The authors present the results of a comparative performance study of algorithms for detecting keypoints in digital images. The Harris, good features to track (GFTT), SIFT, SURF, FAST, ORB, BRISK, and the MSER keypoint detectors were tested using two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99457b3348c07fc968a973e3ca33c4f8
https://doi.org/10.1049/iet-cvi.2016.0434
https://doi.org/10.1049/iet-cvi.2016.0434
Publikováno v:
2017 International Conference on Systems, Signals and Image Processing (IWSSIP)
IWSSIP
IWSSIP
Keypoint detection is a basic step in many computer vision algorithms aimed at recognition of objects, automatic navigation, medicine and other application fields. Successful implementation of higher level image analysis tasks, however, is conditione
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::284bacf6a1d5e275f2575878d3a2a3a1
A Mobile Phone Application for Recognizing Objects as a Personal Aid for the Visually Impaired Users
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319084909
In this work we report applications developed for Android smartphones that were designed for the blind and visually impaired users. The main application is capable of matching photographed objects to a database of objects, e.g. food or medicine conta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::362d42b533f5ca3a401320bb9313f3b8
https://doi.org/10.1007/978-3-319-08491-6_17
https://doi.org/10.1007/978-3-319-08491-6_17
Publikováno v:
HSI
ResearcherID
ResearcherID
In this work we describe main features of software modules developed for Android smartphones that are dedicated for the blind users. The main module can recognise and match scanned objects to a database of objects., e.g. food or medicine containers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e43fbb6eb17eb9e62f802f5382dc54c9
https://doi.org/10.1109/hsi.2013.6577868
https://doi.org/10.1109/hsi.2013.6577868
Autor:
Piotr Skulimowski, Karol Matusiak
Publikováno v:
Computer Vision and Graphics ISBN: 9783642335631
ICCVG
ICCVG
The paper presents a comparison of key point selection methods used for recognition of objects in scenes recorded by a built-in mobile phone camera. The detected key points include corners and line crossings. An application for Android smartphones wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::727156e8f466272575dcd2290d288902
https://doi.org/10.1007/978-3-642-33564-8_61
https://doi.org/10.1007/978-3-642-33564-8_61