Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Andrzej Śluzek"'
Autor:
Andrzej Sluzek
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2009 (2009)
The paper overviews the concept of using circular patches as local features for image description, matching, and retrieval. The contents of scanning circular windows are approximated by predefined patterns. Characteristics of the approximations are u
Externí odkaz:
https://doaj.org/article/25be77fe651f4090b54bc200e063dd61
Autor:
Andrzej Śluzek
Publikováno v:
Annals of computer science and information systems, Vol 9, Pp 57-61 (2016)
Externí odkaz:
https://doaj.org/article/67018dd698164b3db92156ba7d4a0a1e
Autor:
Andrzej Śluzek, M. Sami Zitouni
Publikováno v:
Computer Vision and Graphics ISBN: 9783031220241
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a78f3dded3c15eedd75c6ca41198646
https://doi.org/10.1007/978-3-031-22025-8_2
https://doi.org/10.1007/978-3-031-22025-8_2
Autor:
Andrzej Śluzek
Publikováno v:
Progress in Image Processing, Pattern Recognition and Communication Systems ISBN: 9783030815226
The paper introduces (and investigates) a novel methodology for improving performances of detection of visual objects (keypoints are selected as objects for the feasibility study). Using any (i.e. either hand-crafted or deep-learned) detector in conj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c2b59c7c9c5b2c8823e87d988d3c114
https://doi.org/10.1007/978-3-030-81523-3_8
https://doi.org/10.1007/978-3-030-81523-3_8
Autor:
Andrzej Śluzek, Suood Al Mazrouei
Publikováno v:
Recent Challenges in Intelligent Information and Database Systems ISBN: 9789811616846
ACIIDS (Companion)
ACIIDS (Companion)
A simple methodology (based on standard detection algorithms and a shallow neural network) is developed for estimating the eye gaze direction in natural (mostly indoor) environments. The methodology is primarily intended for evaluating human interest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df8ac5895d360ca2c628b5062908e866
https://doi.org/10.1007/978-981-16-1685-3_20
https://doi.org/10.1007/978-981-16-1685-3_20
Autor:
M. Sami Zitouni, Andrzej Śluzek
Publikováno v:
Computer Vision and Graphics ISBN: 9783030590055
ICCVG
Computer Vision and Graphics
Lecture Notes in Computer Science
ICCVG
Computer Vision and Graphics
Lecture Notes in Computer Science
The paper presents a number of recently developed methods for automatic categorization of socio-cognitive crowd behavior from video surveillance data. Sadly and unexpectedly, the recent pandemic outbreak of Covid-19 created a new important niche for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9682e3e13f22f0534ef9b665b8efa2d6
https://doi.org/10.1007/978-3-030-59006-2_20
https://doi.org/10.1007/978-3-030-59006-2_20
Autor:
Andrzej Śluzek
Publikováno v:
Intelligent Systems Reference Library ISBN: 9783319738901
Automatic annotation of image contents can be performed more efficiently if it is supported by reliable segmentation algorithms which can extract, as accurately as possible, areas with a certain level of semantic uniformity on top of the default pict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b87d0f43f1413726fa45d3357b8d5c15
https://doi.org/10.1007/978-3-319-73891-8_3
https://doi.org/10.1007/978-3-319-73891-8_3
Autor:
Andrzej Śluzek
Publikováno v:
Proceedings of the 2017 International Conference on Computer Graphics and Digital Image Processing.
In this paper, the concept of using salient regions (MSER and SIMSER features) for image segmentation is revised and evaluated. Although we focus on the foreground-background segmentation (which plays an important role of many machine vision problems
Publikováno v:
AIP Conference Proceedings.
Publikováno v:
Computer Vision and Graphics ISBN: 9783319464176
ICCVG
ICCVG
The paper discusses methodology and presents preliminary results of a low-cost method for visual tracking (in an exemplary setup consisting of a mobile agent, e.g. a drone, with an on-board that follows a mobile ground object randomly changing its lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf58b31ba185da84c0bdad4617154426
https://doi.org/10.1007/978-3-319-46418-3_44
https://doi.org/10.1007/978-3-319-46418-3_44