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FPGA real time synthesis of simplified SIFT algorithm

Published: 03 September 2018 Publication History

Abstract

This work presents an all-hardware real time implementation of the SIFT algorithm. The implementation exploits pipeline structures both in the keypoint extraction and in the descriptor generation stages to achieve real time requirements. To allow a feasible hardware implementations, some simplifications to the original algorithm have been required. The architecture has been synthesized on a Xilinx FPGA. It generates 3072 descriptor vectors for VGA images at 99 frames per second.

References

[1]
D. Lowe, "Distintive image features from scale-invariant keypoints," Int. J. Compt. Vis., vol. 60, no. 2, pp 91--110, Nov. 2004.
[2]
L. Yao, et al, "An architecture of optimised SIFT feature detection for an FPGA implementation of an image matcher" Proc. of the Intl. Conf. on Field-Programmable Technology, 30--37, 2009.
[3]
M. Qasaimeh, et al, "FPGA-Based Parallel Hardware Architecture for Real-Time Image Classification", IEEE Trans. on Computational Imaging 1, 56--70, 2015.
[4]
F. C. Huang et al, "High-Performance SIFT Hardware Accelerator for Real-Time Image Feature Extraction", IEEE Trans. on Circ. and Syst Video Tech. 22, 340--351, 2012.
[5]
K. Mizuno, et al, "Fast and low-memory-bandwidth architecture of SIFT descriptor generation with scalability on speed and accuracy for VGA video", Proc. Intl. Conf. on Field Programmable Logic and Appl., 608--611, 2010.
[6]
W. Deng et al, "An efficient hardware architecture of the optimised SIFT descriptor generation", Proc Proceedings of the Intl. Conf. on Field Programmable Logic and Applications, 345--352 (2012)
[7]
G Domenech-Asensi et al, "All-hardware SIFT implementation for real-time VGA images feature extraction", J Real-Time Image Proc., 2018.

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  1. FPGA real time synthesis of simplified SIFT algorithm

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    Published In

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    ICDSC '18: Proceedings of the 12th International Conference on Distributed Smart Cameras
    September 2018
    134 pages
    ISBN:9781450365116
    DOI:10.1145/3243394
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 03 September 2018

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    Author Tags

    1. FPGA
    2. SIFT
    3. embedded vision systems
    4. parallel architecture
    5. parallel concurrent processing
    6. real time

    Qualifiers

    • Demonstration
    • Research
    • Refereed limited

    Conference

    ICDSC '18
    ICDSC '18: International Conference on Distributed Smart Cameras
    September 3 - 4, 2018
    Eindhoven, Netherlands

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    Overall Acceptance Rate 92 of 117 submissions, 79%

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