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Fast descriptor extraction method for a SURF-based interest point
Speeded up robust features (SURF) is one of the most popular feature extraction algorithms used for detecting, recognising, and tracking objects in various applications. However, it is not suitable for real-time implementation because its operating speed does not satisfy real-time constraints. In th...
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Published in: | Electronics letters 2016-02, Vol.52 (4), p.274-275 |
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container_end_page | 275 |
container_issue | 4 |
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container_title | Electronics letters |
container_volume | 52 |
creator | Cheon, S.H Eom, I.K Moon, Y.H |
description | Speeded up robust features (SURF) is one of the most popular feature extraction algorithms used for detecting, recognising, and tracking objects in various applications. However, it is not suitable for real-time implementation because its operating speed does not satisfy real-time constraints. In this Letter, operating speed is highly dependent on the amount of computations required for the Haar wavelet response (HWR) step, and present a fast descriptor extraction method that eliminates repeated operations in the HWR step is shown. Experimental results show that the proposed method (PM) can achieve operation time-savings of approximately 27% without using additional resources, while the descriptor extraction performance of the PM is exactly identical to that of the original reference software. |
doi_str_mv | 10.1049/el.2015.3055 |
format | article |
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ispartof | Electronics letters, 2016-02, Vol.52 (4), p.274-275 |
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subjects | Computer programs Electronics Extraction fast descriptor extraction Feature extraction Haar transforms Haar wavelet response HWR Image and vision processing and display technology object detection Object recognition object tracking Real time reference software Software speeded up robust features SURF‐based interest point Tracking wavelet transforms |
title | Fast descriptor extraction method for a SURF-based interest point |
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