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JOŠTH, R. ANTIKAINEN, J. HAVEL, J. HEROUT, A. ZEMČÍK, P. HAUTA-KASARI, M.
Originální název
Real-Time PCA Calculation for Spectral Imaging (using SIMD and GP-GPU)
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
This article presents two optimized implementations of the PCA algorithm, primarily targeted on spectral image analysis in real time. One of them utilizes the SSE instruction set of contemporary CPUs, the other one runs on graphics processors (GPUs), using the CUDA environment. The implementations are evaluated and compared with a multithreaded C implementation compiled by an optimizing compiler and the results show speed-ups of around 10x which allows for using PCA on RGB and spectral images in real time. The discussed implementations are made available in a dynamically linked library, including a MATLAB plug-in interface so that they can be used by the professional public.
Klíčová slova
Spectral Imaging; PCA; GPU; CUDA; SSE
Autoři
JOŠTH, R.; ANTIKAINEN, J.; HAVEL, J.; HEROUT, A.; ZEMČÍK, P.; HAUTA-KASARI, M.
Rok RIV
2012
Vydáno
23. 1. 2012
ISSN
1861-8200
Periodikum
Journal of Real-Time Image Processing
Ročník
7
Číslo
2
Stát
Spolková republika Německo
Strany od
95
Strany do
103
Strany počet
9
BibTex
@article{BUT50549, author="Radovan {Jošth} and Jukka {Antikainen} and Jiří {Havel} and Adam {Herout} and Pavel {Zemčík} and Markku {Hauta-Kasari}", title="Real-Time PCA Calculation for Spectral Imaging (using SIMD and GP-GPU)", journal="Journal of Real-Time Image Processing", year="2012", volume="7", number="2", pages="95--103", issn="1861-8200" }