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of 66
pro vyhledávání: '"3D descriptor"'
Akademický článek
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Autor:
Khadija Arhid, Fatima Rafii Zakani, Basma Sirbal, Mohcine Bouksim, Mohamed Aboulfatah, Taoufiq Gadi
Publikováno v:
Компьютерная оптика, Vol 43, Iss 2, Pp 316-323 (2019)
Due to the growing number of 3D objects in digital libraries, the task of searching and browsing models in an extensive 3D database has been the focus of considerable research in the area. In the last decade, several approaches to retrieve 3D models
Externí odkaz:
https://doaj.org/article/021688f38b2a4bcf82a49ff5d9b56be5
Publikováno v:
IEEE Access, Vol 7, Pp 77436-77447 (2019)
Motivated by recent successes on learning 3D feature representations, we present a Siamese network to generate representative 3D descriptors for 3D point matching in point cloud registration. Our system, dubbed HAF-Net, consists of feature extraction
Externí odkaz:
https://doaj.org/article/a0fbe7987b574c49a168bcd8dc1d3f91
Akademický článek
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Akademický článek
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Publikováno v:
International Journal of Computer Vision. 126:1-20
The established approach to 3D keypoint detection consists in defining effective handcrafted saliency functions based on geometric cues with the aim of maximizing keypoint repeatability. Differently, the idea behind our work is to learn a descriptor-
Autor:
Albert Dipanda, Kyis Essmaeel, Luigi Gallo, Ernesto Damiani, Cyrille Migniot, Giuseppe De Pietro
Publikováno v:
Multimedia Tools and Applications
Multimedia Tools and Applications, Springer Verlag, 2019, 78 (8), pp.1-30. ⟨10.1007/s11042-019-7568-6⟩
Multimedia tools and applications 78 (2019): 22479–22508. doi:10.1007/s11042-019-7568-6
info:cnr-pdr/source/autori:Essmaeel, K.; Migniot, C.; Dipanda, A.; Gallo, L.; Damiani, E.; & De Pietro, G./titolo:A new 3D descriptor for human classification: application for human detection in a multi-kinect system/doi:10.1007%2Fs11042-019-7568-6/rivista:Multimedia tools and applications/anno:2019/pagina_da:22479/pagina_a:22508/intervallo_pagine:22479–22508/volume:78
Multimedia Tools and Applications, Springer Verlag, 2019, 78 (8), pp.1-30. ⟨10.1007/s11042-019-7568-6⟩
Multimedia tools and applications 78 (2019): 22479–22508. doi:10.1007/s11042-019-7568-6
info:cnr-pdr/source/autori:Essmaeel, K.; Migniot, C.; Dipanda, A.; Gallo, L.; Damiani, E.; & De Pietro, G./titolo:A new 3D descriptor for human classification: application for human detection in a multi-kinect system/doi:10.1007%2Fs11042-019-7568-6/rivista:Multimedia tools and applications/anno:2019/pagina_da:22479/pagina_a:22508/intervallo_pagine:22479–22508/volume:78
International audience; In this paper we present a new 3D descriptor for human classification and a human detection method based on this descriptor. The proposed 3D descriptor allows classification of an object represented by a point cloud, as human
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76b1cc1e4a023fa3474d0eaa89633d90
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02125322
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02125322
Publikováno v:
Компьютерная оптика, Vol 43, Iss 2, Pp 316-323 (2019)
Due to the growing number of 3D objects in digital libraries, the task of searching and browsing models in an extensive 3D database has been the focus of considerable research in the area. In the last decade, several approaches to retrieve 3D models
Autor:
López-Fernández, D., Madrid-Cuevas, F.J., Carmona Poyato, Ángel, Muñoz-Salinas, Rafael, Medina-Carnicer, R.
Publikováno v:
9th International Conference on Distributed Smart Cameras, Seville (Spain), September 08-11, 2015
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Appearance changes due to viewing angle changes cause difficulties for most of the gait recognition methods. In this paper, we propose a new approach for multi-view recognition, which allows to recognize people walking on curved paths. The recognitio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::16fddb9db7afb796602dbca522c0f9d9
https://hdl.handle.net/10396/15692
https://hdl.handle.net/10396/15692
Publikováno v:
ACM Transactions on Embedded Computing Systems. 14:1-25
Embedded three-dimensional (3D) Computer Vision (CV) is considered a technology enabler for future consumer applications, attracting a wide interest in academia and industry. However, 3D CV processing is a computation-intensive task. Its high computa