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Título: Towards a multi-device versión of the HYFMGPU Algorithm
Autor: Fernández-Fabeiro, Jorge
Ordóñez, Álvaro
González-Escribano, Arturo
B. Heras, Dora
Congreso: CMMSE 2018
Año del Documento: 2018
Documento Fuente: Computational Methods for Mathematics, Science and Engineering
Resumen: 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.
Materias (normalizadas): Informática
ISBN: 978-84-697-7861-6
Patrocinador: Universidad de Valladolid (Consejería de Educación of Junta de Castilla y León, Ministerio de Economía, Industria y Competitividad of Spain, and European Regional Development Fund (ERDF) program: Project PCAS (TIN2017-88614-R), Project PROPHET (VA082P17) and CAPAP-H6 network (TIN2016-81840-REDT).
Idioma: spa
URI: http://uvadoc.uva.es/handle/10324/32186
Derechos: info:eu-repo/semantics/openAccess
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