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Sudhakar Sah and Jan Vaněk and YoungJun Roh and Ratul Wasnik : GPU Accelerated Real Time Rotation, Scale and Translation Invariant Image Registration Method . International Conference on Image Analysis and Recognition, Lecture Notes in Computer Science, vol. 7324, p. 224-233, Springer, 2012.

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Abstract

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 parallel implementation 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 implementations.

Detail of publication

Title: GPU Accelerated Real Time Rotation, Scale and Translation Invariant Image Registration Method
Author: Sudhakar Sah ; Jan Vaněk ; YoungJun Roh ; Ratul Wasnik
Language: English
Date of publication: 20 Jun 2012
Year: 2012
Type of publication: Papers in proceedings of reviewed conferences
Book title: International Conference on Image Analysis and Recognition
Series: Lecture Notes in Computer Science
Číslo vydání: 7324
Page: 224 - 233
DOI: 10.1007/978-3-642-31295-3_27
ISBN: 978-3-642-31294-6
Publisher: Springer
/ 2014-11-12 12:25:37 /

Keywords

GPU, Image Registration, CUDA, OpenCL, Object Recognition

BibTeX

@INPROCEEDINGS{SudhakarSah_2012_GPUAcceleratedReal,
 author = {Sudhakar Sah and Jan Van\v{e}k and YoungJun Roh and Ratul Wasnik},
 title = {GPU Accelerated Real Time Rotation, Scale and Translation Invariant Image Registration Method},
 year = {2012},
 publisher = {Springer},
 volume = {7324},
 pages = {224-233},
 booktitle = {International Conference on Image Analysis and Recognition},
 series = {Lecture Notes in Computer Science},
 ISBN = {978-3-642-31294-6},
 doi = {10.1007/978-3-642-31295-3_27},
 url = {http://www.kky.zcu.cz/en/publications/SudhakarSah_2012_GPUAcceleratedReal},
}