RT info:eu-repo/semantics/conferenceObject
T1 Towards a multi-device versión of the HYFMGPU Algorithm
A1 Fernández Fabeiro, Jorge
A1 Ordóñez, Álvaro
A1 González Escribano, Arturo
A1 Blanco Heras, Dora
K1 Informática
AB The task consisting on estimating the translation, rotation and scaling of an image with respect to another take of the same scene obtained at different times, viewpoints and/or lightning conditions is known as image registration. Applications like environmental disasters management or rescue operations depend on real-time hyperspectral images registration, but most of the current FFT-based techniques ignore such performance needs. Ordóñez et al. proposed HYFMGPU [1], a single-GPU algorithm whose performance makes it suitable for real-time use cases. As hyperspectral sensors improve, both the size of images and the wavelength ranges covered are expected to increase, so that a multi-GPU implementation is proposed to satisfy such growing needs.
SN 978-84-697-7861-6
YR 2018
FD 2018
LK http://uvadoc.uva.es/handle/10324/32186
UL http://uvadoc.uva.es/handle/10324/32186
LA spa
NO Computational Methods for Mathematics, Science and Engineering
DS UVaDOC
RD 28-abr-2024