Fast descriptor extraction method for a SURF-based interest point

• Published in: Electronics letters Vol. 52; no. 4; pp. 274 - 275
• Main Authors: Cheon, S.H, Eom, I.K, Moon, Y.H
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 18.02.2016
• 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; object recognition; HWR; wavelet transforms; feature extraction; Haar transforms; object tracking; object detection; Haar wavelet response; speeded up robust features; SURF-based interest point; reference software; fast descriptor extraction
• ISSN: 0013-5194; 1350-911X; 1350-911X
• DOI: 10.1049/el.2015.3055

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.