Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Matěj Lébl"'
Publikováno v:
Image Analysis ISBN: 9783031314346
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8d68a3f6c8915b7d6afd539892e46f0
https://doi.org/10.1007/978-3-031-31435-3_20
https://doi.org/10.1007/978-3-031-31435-3_20
Publikováno v:
Image Analysis ISBN: 9783031314377
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59f10c05824ef962088d94ad766ef270
https://doi.org/10.1007/978-3-031-31438-4_8
https://doi.org/10.1007/978-3-031-31438-4_8
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783030298876
CAIP (1)
CAIP (1)
Blur is a common phenomenon in image acquisition that negatively influences recognition rate if blurred images are used as a query in template matching. Various blur-invariant features and measures were proposed in the literature, yet they are often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1df1008ba84041d311cea2e3670a56c
https://doi.org/10.1007/978-3-030-29888-3_28
https://doi.org/10.1007/978-3-030-29888-3_28
Publikováno v:
Image Analysis ISBN: 9783030202040
SCIA
SCIA
The paper presents a new theory of invariants to Gaussian blur. Unlike earlier methods, the blur kernel may be arbitrary oriented, scaled and elongated. Such blurring is a semi-group action in the image space, where the orbits are classes of blur-equ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82ac75f019c2b08b83556a1b879c42be
http://urn.fi/urn:nbn:fi-fe202001101746
http://urn.fi/urn:nbn:fi-fe202001101746
Publikováno v:
Pattern Recognition. 103:107264
The paper presents a new theory of invariants to Gaussian blur. Unlike earlier methods, the blur kernel may be arbitrary oriented, scaled and elongated. Such blurring is a semi-group action in the image space, where the orbits are classes of blur-equ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20f4e1e2fa26806b97ff5aebb6fc756c
https://doi.org/10.1016/j.patcog.2020.107264
https://doi.org/10.1016/j.patcog.2020.107264
