Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jacek Naruniec"'
Autor:
Jacek Naruniec, Michał Wieczorek, Stanisław Szlufik, Dariusz Koziorowski, Michał Tomaszewski, Marek Kowalski, Andrzej Przybyszewski
Publikováno v:
IET Computer Vision, Vol 11, Iss 2, Pp 173-180 (2017)
Video‐oculography (VOG) is a tool providing diagnostic information about the progress of the diseases that cause regression of the vergence eye movements, such as Parkinson's disease (PD). The majority of the existing systems are based on sophistic
Externí odkaz:
https://doaj.org/article/ed6fc91bd7be479084f84d4a68d6e4b3
Autor:
Manuel Kansy, Julian Balletshofer, Jacek Naruniec, Christopher Schroers, Graziana Mignone, Markus Gross, Romann M. Weber
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::649e14432ef878a5fe54bbb79675674c
https://doi.org/10.1109/wacvw58289.2023.00064
https://doi.org/10.1109/wacvw58289.2023.00064
Publikováno v:
Computer Graphics Forum. 39:173-184
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66d9fc66f642de19d716362d086ded90
https://doi.org/10.1111/cgf.14062
https://doi.org/10.1111/cgf.14062
Publikováno v:
Engineering Applications of Artificial Intelligence. 64:112-127
In classical recognition techniques only raw features of objects are employed. Our approach allows use the composed features so called Sim coefficients and landmarks which determine the area where biometric features should be searched. Biometric comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe6173ddb22a795bd96136808e16c22b
https://doi.org/10.1016/j.engappai.2017.06.003
https://doi.org/10.1016/j.engappai.2017.06.003
In the recent years, object detection has experienced impressive progress. Despite these improvements, there is still a significant gap in the performance between the detection of small and large objects. We analyze the current state-of-the-art model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c5c0a0afff414ee9edc38b3f6ac33eb
http://arxiv.org/abs/1902.07296
http://arxiv.org/abs/1902.07296
Autor:
Dariusz Koziorowski, Stanisław Szlufik, Jacek Naruniec, Andrzej W. Przybyszewski, Michal Tomaszewski, Marek Kowalski, Michal Wieczorek
Publikováno v:
IET Computer Vision. 11:173-180
Video-oculography (VOG) is a tool providing diagnostic information about the progress of the diseases that cause regression of the vergence eye movements, such as Parkinson's disease (PD). The majority of the existing systems are based on sophisticat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d71a0df78cb66edcf80eae8ba5e88f50
https://doi.org/10.1049/iet-cvi.2016.0226
https://doi.org/10.1049/iet-cvi.2016.0226
Publikováno v:
CVPR Workshops
In this paper, we propose Deep Alignment Network (DAN), a robust face alignment method based on a deep neural network architecture. DAN consists of multiple stages, where each stage improves the locations of the facial landmarks estimated by the prev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f9377cd26abff0b3781abcfd4e0e1b4
http://arxiv.org/abs/1706.01789
http://arxiv.org/abs/1706.01789
Autor:
Jacek Naruniec, Marek Kowalski
In this work we present a face alignment pipeline based on two novel methods: weighted splitting for K-cluster Regression Forests and 3D Affine Pose Regression for face shape initialization. Our face alignment method is based on the Local Binary Feat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7824176e2851a1664abb4dec6e9049f5
Publikováno v:
SPIE Proceedings.
This paper presents a system designed for the multi-object detection purposes and adjusted for the application of product search on the market shelves. System uses well known binary keypoint detection algorithms for finding characteristic points in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e5d6fd254d04d5fa815750616fc0be7
https://doi.org/10.1117/12.2225610
https://doi.org/10.1117/12.2225610
Publikováno v:
VISIGRAPP (3: VISAPP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73cb7f362de9cbb055ebcd8285327d21
https://doi.org/10.5220/0005676304440455
https://doi.org/10.5220/0005676304440455