E-LIB Suche - Ergebnisse für: Vasa, Libor

1

Broad-to-Narrow Registration and Identification of 3D Objec..:

Arvanitis, Gerasimos ; Zacharaki, Evangelia ; Váša, Libor.
IEEE Transactions on Multimedia. , 2022

2

Geometry Compression of Triangle Meshes using a Reference S..:

Mourycová, Eliška ; Váša, Libor
VISIGRAPP 2022 : proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 1, GRAPP. , 2022

Link: http://hdl.handle.net/11..

3

Geometry driven local neighbourhood based predictors for dy..:

Váša, Libor ; Skala, Václav
Computer Graphics Forum. , 2010

Link: http://hdl.handle.net/11..

4

Combined Compression and Simplification of Dynamic 3D Meshe:

Váša, Libor ; Skala, Václav
Computer Animation of Virtual Worlds. , 2009

Link: http://hdl.handle.net/11..

5

COBRA: Compression of basis of PCA represented animations:

Váša, Libor ; Skala, Václav
Computer Graphics Forum. , 2009

Link: http://hdl.handle.net/11..

6

Coddyac: connectivity driven dynamic mesh compression:

Váša, Libor ; Skala, Václav
3DTV-CON 2007: Capture, Transmission and Display of 3D Video. , 2007

Link: http://hdl.handle.net/11..

7

Methods for dynamic mesh size reduction: technical report n..:

Váša, Libor
http://www.kiv.zcu.cz/publications/. , 2006

Link: http://hdl.handle.net/11..

8

Pipeline approach used for recognition of dynamic meshes:

Frank, Milan ; Váša, Libor ; Skala, Václav
Computer Graphics and Artificial Intelligence. , 2006

Link: http://hdl.handle.net/11..

9

Improved Super-resolution Method and its Acceleration:

Váša, Libor ; Hanák, Ivo ; Skala, Václav
EUSIPCO 2005: 13th European Signal Processing Conference. , 2005

Link: http://hdl.handle.net/11..

10

IMPROVED SUPER-RESOLUTION METHOD AND ITS ACCELERATION:

Vasa, Libor ; Hanak, Ivo ; Skala, Vaclav
https://zenodo.org/record/38958. , 2005

Link: https://zenodo.org/recor..

11

Broad-to-Narrow Registration and Identification of 3D Objec..:

Gerasimos Arvanitis ; Evangelia I. Zacharaki ; Libor Vasa.
info:eu-repo/grantAgreement/EC/H2020/871738/. , 2021

Link: https://zenodo.org/recor..