Publication detail

Real-Time PCA Calculation for Spectral Imaging (using SIMD and GP-GPU)

JOŠTH, R. ANTIKAINEN, J. HAVEL, J. HEROUT, A. ZEMČÍK, P. HAUTA-KASARI, M.

Original Title

Real-Time PCA Calculation for Spectral Imaging (using SIMD and GP-GPU)

Type

journal article - other

Language

English

Original Abstract

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.

Keywords

Spectral Imaging; PCA; GPU; CUDA; SSE

Authors

JOŠTH, R.; ANTIKAINEN, J.; HAVEL, J.; HEROUT, A.; ZEMČÍK, P.; HAUTA-KASARI, M.

RIV year

2012

Released

23. 1. 2012

ISBN

1861-8200

Periodical

Journal of Real-Time Image Processing

Year of study

7

Number

2

State

Federal Republic of Germany

Pages from

95

Pages to

103

Pages count

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"
}