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Real-time PCA calculation for spectral imaging (using SIMD and GP-GPU)

Radovan Josth, Jukka Antikainen, Jiri Havel, Adam Herout, Pavel Zemcik, Markku Hauta-Kasari
Graph@FIT, Brno University of Technology, Bozetechova 2, 61600 Brno, Czech Republic
Journal of Real-Time Image Processing (22 January 2011), pp. 1-9

@article{josthreal,

   title={Real-time PCA calculation for spectral imaging (using SIMD and GP-GPU)},

   author={Jo{v{s}}th, R. and Antikainen, J. and Havel, J. and Herout, A. and Zem{v{c}}{‘i}k, P. and Hauta-Kasari, M.},

   journal={Journal of Real-Time Image Processing},

   pages={1–9},

   issn={1861-8200},

   publisher={Springer}

}

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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, and the other one runs on graphics processors, 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.
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