Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Christian Ferran"'
Autor:
Christian Ferran, Jesús Bescós, Montse Pardàs, Ferran Marques, José M. Martínez, Alessandro Signoriello, Marcos Escudero-Viñolo, Javier Molina
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
The use of hand gestures offers an alternative to the commonly used human computer interfaces, providing a more intuitive way of navigating among menus and multimedia applications. This paper presents a system for hand gesture recognition devoted to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a0c6357154bc6e3a41bb9718010b5d0
https://hdl.handle.net/2117/18152
https://hdl.handle.net/2117/18152
Autor:
Christian Ferran, Javier Barandiaran, Oscar E. Ruiz, Tomas Montserrat, Olga Mur, Francesc Tarres, Julien Quelen, Pere J. Mindan, Iñigo Barandiaran, John Congote
Publikováno v:
2010 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video.
In this paper we present a reliable depth estimation system which works in real-time with commodity hardware. The system is specially intended for 3D visualization using autostereoscopic displays. The core of this work is an implementation of a modif
Autor:
O'Connor, Noel E., Sav, Sorin Vasile, Adamek, Tomasz, Mezaris, Vasileios, Kompatsiaris, Ioannis, Lui, Tsz Ying, Izquierdo, Ebroul, Bennström, Christian Ferran, Casas, Josep R.
Publikováno v:
O'Connor, Noel E. ORCID: 0000-0002-4033-9135 , Sav, Sorin Vasile, Adamek, Tomasz, Mezaris, Vasileios, Kompatsiaris, Ioannis ORCID: 0000-0001-6447-9020 , Lui, Tsz Ying, Izquierdo, Ebroul ORCID: 0000-0002-7142-3970 , Bennström, Christian Ferran and Casas, Josep R. (2003) Region and object segmentation algorithms in the Qimera segmentation platform. In: CBMI 2003-International Workshop on Content-Based Multimedia Indexing, 22-24 September 2003, Rennes, France.
In this paper we present the Qimera segmentation platform and describe the different approaches to segmentation that have been implemented in the system to date. Analysis techniques have been implemented for both region-based and object-based segment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______119::5e562734572c884582eddded0b14846e
http://doras.dcu.ie/389/
http://doras.dcu.ie/389/