SURF algorithm in FPGA: a novel architecture for high demanding industrial applications

Authors:
N. Battezzati;S. Colazzo;M. Maffione;L. Senepa
Affiliations:
Skytechnology, Torino, Italy;Skytechnology, Torino, Italy;Skytechnology, Torino, Italy;Skytechnology, Torino, Italy
Venue:
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
Year:
2012

Citing 5
Cited 1

Distinctive Image Features from Scale-Invariant Keypoints

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A Comparison of Affine Region Detectors

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Speeded-Up Robust Features (SURF)

Computer Vision and Image Understanding
Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

FCCM '10 Proceedings of the 2010 18th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines
Flex-SURF: A Flexible Architecture for FPGA-Based Robust Feature Extraction for Optical Tracking Systems

RECONFIG '10 Proceedings of the 2010 International Conference on Reconfigurable Computing and FPGAs

FPGA-based module for SURF extraction

Machine Vision and Applications

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Abstract

Today many industrial applications require object recognition and tracking capabilities. Feature-based algorithms are well-suited for such operations and, among all, Speeded Up Robust Features (SURF) algorithm has been proved to achieve optimal results. However, when high-precision and real time requirements come together, a dedicated hardware is necessary to meet them. In this paper we present a novel architecture for implementing SURF algorithm in FPGA, along with experimental results for different industrial applications.