Journal article

 
Jošth, R., Antikainen, J., Havel, J., Herout, A., Zemčík, P., Hauta-Kasari, M.: Real-Time PCA Calculation for Spectral Imaging (using SIMD and GP-GPU), In: Journal of Real-Time Image Processing , Vol. 7, No. 2, 2012, DE, p. 95-103, ISSN 1861-8200
Publication language:english
Original title:Real-Time PCA Calculation for Spectral Imaging (using SIMD and GP-GPU)
Title (cs):Výpočet PCA v reálném čase pro zpracování spektrálních obrazů (s využitím SIMD a GP-GPU)
Pages:95-103
Place:DE
Year:2012
Journal:Journal of Real-Time Image Processing , Vol. 7, No. 2, DE
ISSN:1861-8200
Keywords
Spectral Imaging; PCA; GPU; CUDA; SSE
Annotation
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.
BibTeX:
@ARTICLE{
   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)},
   pages = {95--103},
   journal = {Journal of Real-Time Image Processing },
   volume = {7},
   number = {2},
   year = {2012},
   ISSN = {1861-8200},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9413}
}