Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Zdeněk Krňoul"'
Publikováno v:
IEEE Access, Vol 9, Pp 10533-10547 (2021)
In this article we tackle the problem of hand pose estimation when the hand is interacting with various objects from egocentric viewpoint. This entails a frequent occlusion of parts of the hand by the object and also self-occlusions of the hand. We u
Externí odkaz:
https://doaj.org/article/1d9bff3b0b7f40b9a76e33d812fe6174
Publikováno v:
Sensors, Vol 23, Iss 12, p 5509 (2023)
This work presents a novel transformer-based method for hand pose estimation—DePOTR. We test the DePOTR method on four benchmark datasets, where DePOTR outperforms other transformer-based methods while achieving results on par with other state-of-t
Externí odkaz:
https://doaj.org/article/2822cf0f247744f3880728292f26708a
Publikováno v:
Sensors, Vol 22, Iss 13, p 5043 (2022)
In this paper, we dive into sign language recognition, focusing on the recognition of isolated signs. The task is defined as a classification problem, where a sequence of frames (i.e., images) is recognized as one of the given sign language glosses.
Externí odkaz:
https://doaj.org/article/7b78a784ec7a4db7ab39ca6e958d2272
Publikováno v:
Sensors; Volume 23; Issue 12; Pages: 5509
This work presents a novel transformer-based method for hand pose estimation—DePOTR. We test the DePOTR method on four benchmark datasets, where DePOTR outperforms other transformer-based methods while achieving results on par with other state-of-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::4d893d3648351775e162af281c96d48c
Publikováno v:
European Language Grid ISBN: 9783031172571
The new 3D motion capture data corpus expands the portfolio of existing language resources by a corpus of 18 hours of Czech sign language. This helps alleviate the current problem, which is a critical lack of quality data necessary for research and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebbd9c732df1af8a9cdf3800118fce02
https://doi.org/10.1007/978-3-031-17258-8_21
https://doi.org/10.1007/978-3-031-17258-8_21
Publikováno v:
Sensors; Volume 22; Issue 13; Pages: 5043
In this paper, we dive into sign language recognition, focusing on the recognition of isolated signs. The task is defined as a classification problem, where a sequence of frames (i.e., images) is recognized as one of the given sign language glosses.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b9b6cbdaf9a3b2a54f527d3d9db1a12
http://hdl.handle.net/11025/51652
http://hdl.handle.net/11025/51652
Publikováno v:
Speech and Computer ISBN: 9783030260606
SPECOM
SPECOM
Tento článek se zabývá odhadem pozice rukou z jediného hloubkového obrazu. Představujeme metodu, která je založena na popisu pozice ruky prostřednictvím lokálních rotací kostí, které byly trénovány diskriminačně end-to-end módem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00f29cdf241129cf1b01ad0bfe2a305d
https://doi.org/10.1007/978-3-030-26061-3_22
https://doi.org/10.1007/978-3-030-26061-3_22
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319995816
ICR
ICR
The neural networks currently outperform earlier approaches to the hand pose estimation. However, to achieve the superior results a large amount of the appropriate training data is desperately needed. But the acquisition of the real hand pose data is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e362e2c3ecd9581fcc56b62e0726fb52
https://doi.org/10.1007/978-3-319-99582-3_12
https://doi.org/10.1007/978-3-319-99582-3_12
Publikováno v:
Speech and Computer ISBN: 9783319439570
SPECOM
SPECOM
The article deals with a recording procedure for motion dataset building mainly for sign language synthesis systems. Data gloves and two types of optical motion capture techniques are considered such as one source of sign language speech data for adv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed89f90b73fedcdb77b8fedc7618c253
https://doi.org/10.1007/978-3-319-43958-7_86
https://doi.org/10.1007/978-3-319-43958-7_86
Autor:
Erinç Dikici, Zdeněk Krňoul, Ahmet Alp Kindiroglu, Miloš Železný, Hasim Sak, Hulya Yalcin, Oya Aran, Alexander L. Ronzhin, Lale Akarun, Alexey Karpov, Pavel Campr, Marek Hrúz, Daniel Schorno, Murat Saraclar
Publikováno v:
Journal on Multimodal User Interfaces. 4:61-79
The aim of this paper is to help the communication of two people, one hearing impaired and one visually impaired by converting speech to fingerspelling and fingerspelling to speech. Fingerspelling is a subset of sign language, and uses finger signs t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::819ecac70eb9fca439761d8148a27e3a
https://doi.org/10.1007/s12193-011-0059-3
https://doi.org/10.1007/s12193-011-0059-3