Real-time implementation of SIFT feature extraction algorithms in FPGA

A-jun Shao; Wei-xian Qian; Guo-hua Gu; Kai-li Lu

doi:10.1117/12.2190330

5 August 2015 Real-time implementation of SIFT feature extraction algorithms in FPGA

A-jun Shao, Wei-xian Qian, Guo-hua Gu, Kai-li Lu

Proceedings Volume 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 96220V (2015) https://doi.org/10.1117/12.2190330
Event: International Conference on Optical Instruments and Technology 2015, 2015, Beijing, China

Abstract

In order to achieve real-time extraction of feature point in the target detection and tracking system, we propose improved SIFT feature extraction algorithm based on FPGA hardware platform, which focuses on Pyramid structures and Gaussian convolution, at the same time, through the reasonable selection of algorithm parameter and fixed-point number , we can ensure the precision of the algorithm. In addition, we can achieve coordination between the various modules by multiplexing the SRAM. Experimental results indicate that the improved SIFT algorithm on FPGA hardware platform has high stability, low algorithm complexity and high accuracy, meanwhile, shows up good real-time capability.

Citation Download Citation

A-jun Shao, Wei-xian Qian, Guo-hua Gu, and Kai-li Lu "Real-time implementation of SIFT feature extraction algorithms in FPGA", Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 96220V (5 August 2015); https://doi.org/10.1117/12.2190330

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