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Parallel Implementation and Performance Evaluation of the SIFT Algorithm Using a Many-Core Processor
Journal of The Korea Society of Computer and Information
Abbr :
JKSCI
2013, 18(9), pp.1-10
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
2013, 18(9), pp.1-10
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
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In this paper, we implement the SIFT(Scale-Invariant Feature Transform) algorithm for feature point extraction using a many-core processor, and analyze the performance, area efficiency, and system area efficiency of the many-core processor. In addition, we demonstrate the potential of the proposed many-core processor by comparing the performance of the many-core processor with that of high-performance CPU and GPU(Graphics Processing Unit). Experimental results indicate that the accuracy result of the SIFT algorithm using the many-core processor was same as that of OpenCV. In addition, the many-core processor outperforms CPU and GPU in terms of execution time. Moreover, this paper proposed an optimal model of the SIFT algorithm on the many-core processor by analyzing energy efficiency and area efficiency for different octave sizes.
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