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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

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

  • 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