Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Bernard Tiddeman"'
Publikováno v:
Computers, Vol 13, Iss 5, p 119 (2024)
Crabs and lobsters are valuable crustaceans that contribute enormously to the seafood needs of the growing human population. This paper presents a comprehensive analysis of single- and multi-stage object detectors for the detection of crabs and lobst
Externí odkaz:
https://doaj.org/article/24ae42b39d2e46b9b3a9d1e41818e69e
Autor:
Hancheng Zuo, Bernard Tiddeman
Publikováno v:
Computers, Vol 13, Iss 2, p 56 (2024)
In this paper, we investigate the inpainting of normal maps that were captured from a lightstage. Occlusion of parts of the face during performance capture can be caused by the movement of, e.g., arms, hair, or props. Inpainting is the process of int
Externí odkaz:
https://doaj.org/article/256e733de31d4018a49d8fde72515733
Autor:
Sebastian Gregory Dal Toé, Marie Neal, Natalie Hold, Charlotte Heney, Rebecca Turner, Emer McCoy, Muhammad Iftikhar, Bernard Tiddeman
Publikováno v:
Sensors, Vol 23, Iss 18, p 7897 (2023)
This work investigates the application of Computer Vision to the problem of the automated counting and measuring of crabs and lobsters onboard fishing boats. The aim is to provide catch count and measurement data for these key commercial crustacean s
Externí odkaz:
https://doaj.org/article/d9b197a714e94881974daa10d8dc0595
Autor:
Morteza Ghahremani, Kevin Williams, Fiona M. K. Corke, Bernard Tiddeman, Yonghuai Liu, John H. Doonan
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
The 3D analysis of plants has become increasingly effective in modeling the relative structure of organs and other traits of interest. In this paper, we introduce a novel pattern-based deep neural network, Pattern-Net, for segmentation of point cloud
Externí odkaz:
https://doaj.org/article/5cdf0ae24482420ba8f19d808e24338e
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2780 (2021)
Crowd size estimation is a challenging problem, especially when the crowd is spread over a significant geographical area. It has applications in monitoring of rallies and demonstrations and in calculating the assistance requirements in humanitarian d
Externí odkaz:
https://doaj.org/article/9f4578f162844a02bfd73270c2f83050
Autor:
Bernard Tiddeman, Morteza Ghahremani
Publikováno v:
Symmetry, Vol 13, Iss 6, p 1083 (2021)
In this paper we propose a novel learning-based wavelet transform and demonstrate its utility as a representation in solving a number of linear inverse problems—these are asymmetric problems, where the forward problem is easy to solve, but the inve
Externí odkaz:
https://doaj.org/article/3c7409b5a3824b46af9b32a8bef81dd8
Autor:
Rebecca Jane Pawluk, Carlos Garcia de Leaniz, Joanne Cable, Bernard Tiddeman, Sofia Consuegra
Publikováno v:
Royal Society Open Science, Vol 6, Iss 7 (2019)
Many animal species rely on changes in body coloration to signal social dominance, mating readiness and health status to conspecifics, which can in turn influence reproductive success, social dynamics and pathogen avoidance in natural populations. Su
Externí odkaz:
https://doaj.org/article/b9ddd943a56d45bcb68546db1b6f6b3e
Publikováno v:
PLoS ONE, Vol 11, Iss 1, p e0145443 (2016)
Adults prefer to interact with others that are similar to themselves. Even slight facial self-resemblance can elicit trust towards strangers. Here we investigate if preschoolers at the age of 5 years already use facial self-resemblance when they make
Externí odkaz:
https://doaj.org/article/7e6392c279b5457e8a6ddb8b9b66634a
Face stimuli are commonly created in ways that are not explained well enough for others to reproduce them. In this paper, we document the irreproducibility of most face stimuli, explain the benefits of reproducible stimuli, and introduce the open-sou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9c53d4d57f5737b163369a062e5f6e4
https://doi.org/10.31234/osf.io/j2754
https://doi.org/10.31234/osf.io/j2754
Publikováno v:
Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention ISBN: 9781668475447
Groupwise non-rigid image alignment is a difficult non-linear optimization problem involving many parameters and often large datasets. Previous methods have explored various metrics and optimization strategies. Good results have been previously achie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::883faf1a4443edc280add80708c9ef4b
https://doi.org/10.4018/978-1-6684-7544-7.ch076
https://doi.org/10.4018/978-1-6684-7544-7.ch076