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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Bibliographic Details
Published in:Electronics letters 2016-02, Vol.52 (4), p.274-275
Main Authors: Cheon, S.H, Eom, I.K, Moon, Y.H
Format: Article
Language:English
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
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Summary: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.
ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2015.3055