GPU Accelerated Real Time Rotation, Scale and Translation Invariant Image Registration Method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43921647" target="_blank" >RIV/49777513:23520/12:43921647 - isvavai.cz</a>
Result on the web
<a href="http://www.springerlink.com/content/985306314uq284g1/fulltext.pdf" target="_blank" >http://www.springerlink.com/content/985306314uq284g1/fulltext.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-31295-3_27" target="_blank" >10.1007/978-3-642-31295-3_27</a>
Alternative languages
Result language
angličtina
Original language name
GPU Accelerated Real Time Rotation, Scale and Translation Invariant Image Registration Method
Original language description
This paper presents highly optimized implementation of image registration method that is invariant to rotation scale and translation. Image registration method using FFT works with comparable accuracy as similar methods proposed in the literature, but practical applications seldom use this technique because of high computational requirement. However, this method is highly parallelizable and offloading it to the commodity graphics cards increases its performance drastically. We are proposing the parallelimplementation of FFT based registration method on CUDA and OpenCL. Performance analysis of this implementation suggests that the parallel version can be used for real time image registration even for image size up to 2k x 2k. We have achieved significant speed up of up to 345x on NVIDIA GTX 580 using CUDA and up to 116x on AMD HD 6950 using OpenCL. Comparison of our implementation with other GPU based registration method reveals that our implementation performs better compared to other
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science
ISBN
978-3-642-31294-6
ISSN
0302-9743
e-ISSN
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Number of pages
9
Pages from-to
224-233
Publisher name
Springer
Place of publication
Berlin Heidelberg
Event location
Portugalsko
Event date
Jun 25, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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