Fast image matching based-on improved SURF algorithm

In this paper, to solve the problems that matching an image through the SURF (Speeded Up Robust Features) algorithm spends too much time, a novel image matching algorithm to improve surf will be introduced. While surf is known to be strong but computationally still expensive, it has not attained rea...

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Bibliographic Details
Published in2011 International Conference on Electronics, Communications and Control pp. 1460 - 1463
Main Authors Zhang Huijuan, Hu Qiong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Computers
corner detector
Detectors
FAST
Feature extraction
Filtering theory
Image matching
Real time systems
Software algorithms
SURF
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ISBN1457703203
9781457703201
DOI10.1109/ICECC.2011.6066546

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Summary:In this paper, to solve the problems that matching an image through the SURF (Speeded Up Robust Features) algorithm spends too much time, a novel image matching algorithm to improve surf will be introduced. While surf is known to be strong but computationally still expensive, it has not attained real-time performance yet. Thus this algorithm is based on the heavily modified SURF feature descriptors to attain the faster speed. We modify the Fast-Hessian Detector of SURF for the FAST (Features from Accelerated Segment Test) corner detector to match an image. This improved surf in this paper to match an image can fulfill the real-time requirement and get a considerable accurate result on computers.
ISBN:1457703203
9781457703201
DOI:10.1109/ICECC.2011.6066546