Fast Non-Iterative PCA Computation for Spectral Image Analysis Using GPU

Video in TIB AV-Portal: Fast Non-Iterative PCA Computation for Spectral Image Analysis Using GPU

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Formal Metadata

Title
Fast Non-Iterative PCA Computation for Spectral Image Analysis Using GPU
Title of Series
Part Number
42
Number of Parts
43
Author
Antikainen, Jukka
Hauta-Kasari, Markku
Jääskeläinen, Timo
Parkkinen, Jussi
License
CC Attribution - NoDerivatives 2.0 UK: England & Wales:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
River Valley TV
Release Date
2011
Language
English
Production Place
Joensuu, Finland

Content Metadata

Subject Area
Abstract
In this study, we implement a fast non-iterative Principal Component Analysis computation for spectral image analysis by utilizing Graphical Processing Unit GPU. PCA inner product computation efficiency between Central Processing Unit CPU and GPU was examined. Performance was tested by using spectral images with different dimensions and different PCA inner product image counts. It will be shown that the GPU implementation provides about seven times faster PCA computation than the optimized Difference to the commonly used scientific analysis software Matlab is even higher. When spectral image analysis is needed to make in real-time, CPU does not offer the necessary performance for larger spectral images. Therefore, powerful GPU implementation is needed.
Keywords
The 5th European Conference on Colour in Graphics, Imaging
Vision and the 12th International Symposium on Multispectral Colour Science
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  390 ms - page object

Version

AV-Portal 3.13.1 (abea844c86ad1b15ca76e1472346f3fd8bea123a)
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