Zobrazeno 1 - 10
of 440
pro vyhledávání: '"Alan Chalmers"'
Publikováno v:
IEEE Access, Vol 9, Pp 77771-77783 (2021)
Most Convolution Neural Network (CNN) based object detectors, to date, have been optimized for accuracy and/or detection performance on datasets typically comprised of well exposed 8-bits/pixel/channel Standard Dynamic Range (SDR) images. A major exi
Externí odkaz:
https://doaj.org/article/6fd7a2dddec745eebbd50455c851607f
Autor:
George Papagiannakis, Manos Kamarianakis, Thomas C. Sauter, Alan Chalmers, Joan Lasenby, Daniele Di Lernia, Walter Greenleaf
Publikováno v:
Frontiers in Virtual Reality, Vol 3 (2022)
Externí odkaz:
https://doaj.org/article/c36edae861404a3eb4152da91cd69206
Publikováno v:
IEEE Access, Vol 8, Pp 51692-51702 (2020)
In order to enhance viewing experiences, a number of backlight local dimming (BLD) algorithms have been developed to improve the image contrast ratio and provide power efficiency for modern displays. In order to evaluate which BLD algorithm performs
Externí odkaz:
https://doaj.org/article/02cc4bc742ee49a7a2bccfca880d6e7f
Publikováno v:
IEEE Access, Vol 8, Pp 142736-142746 (2020)
Convolution Neural Network (CNN)-based object detection models have achieved unprecedented accuracy in challenging detection tasks. However, existing detection models (detection heads) trained on 8-bits/pixel/channel low dynamic range (LDR) images ar
Externí odkaz:
https://doaj.org/article/9f04f1a63e63441d807789b024462296
Autor:
Thomas Bashford-Rogers, Miguel Melo, Demetris Marnerides, Maximino Bessa, Kurt Debattista, Alan Chalmers
Publikováno v:
IEEE Access, Vol 7, Pp 36800-36809 (2019)
High dynamic range (HDR) displays are capable of displaying a wider dynamic range of values than conventional displays. As HDR content becomes more ubiquitous, the use of these displays is likely to accelerate. As HDR displays can present a wider ran
Externí odkaz:
https://doaj.org/article/56b6fb5ed9394d2b9fb11d9051b03b17
Autor:
Rossella Suma, Georgia Stavropoulou, Elisavet K. Stathopoulou, Luc van Gool, Andreas Georgopoulos, Alan Chalmers
Publikováno v:
Virtual Archaeology Review, Vol 7, Iss 15, Pp 54-66 (2016)
The ability of High Dynamic Range (HDR) imaging to capture the full range of lighting in a scene has meant that it is being increasingly used for Cultural Heritage (CH) applications. Photogrammetric techniques allow the semi-automatic production of 3
Externí odkaz:
https://doaj.org/article/7ce0751fd4ef469abb8a3bc9ffdde216
Autor:
Alan Chalmers, Eva Zányi
Publikováno v:
Virtual Archaeology Review, Vol 1, Iss 1, Pp 13-16 (2010)
A human depends on all five senses: visuals, audio, smell, taste and touch to perceive an environment. It is not only the individual senses, but also their interaction that plays a key role in enabling us to understand the world around us. Virtual ar
Externí odkaz:
https://doaj.org/article/ecab850a6a3e4653a34995a67ea70501
Autor:
Matthew R. Broome, Eva Zányi, Thomas Hamborg, Elmedin Selmanovic, Silvester Czanner, Max Birchwood, Alan Chalmers, Swaran P. Singh
Publikováno v:
Schizophrenia Research and Treatment, Vol 2013 (2013)
Psychotic disorders carry social and economic costs for sufferers and society. Recent evidence highlights the risk posed by urban upbringing and social deprivation in the genesis of paranoia and psychosis. Evidence based psychological interventions a
Externí odkaz:
https://doaj.org/article/44ee6e47404946598ef1cac8394e74f3
Publikováno v:
IEEE Computer Graphics and Applications. 43:23-31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46c9644505d20ce7d3c4a2d7c6aca7b9
https://doi.org/10.1109/mcg.2023.3242316
https://doi.org/10.1109/mcg.2023.3242316
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 9:2042-2052
Human facial recognition in the context of surveillance, forensics and photo-ID verification is a task for which accuracy is critical. Quite often limitations in the overall quality of facial images reduces individuals' ability in taking decisions re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e08d52ab307831a18cdf6a0d410bbc7c
https://doi.org/10.1109/tetc.2019.2958738
https://doi.org/10.1109/tetc.2019.2958738