DocumentCode
561979
Title
Enhancing SURF Feature Matching Using Colour Histograms
Author
Barroso, Tony Marrero ; Whelan, Paul F.
Author_Institution
Centre for Image Process. & Anal., Dublin City Univ., Dublin, Ireland
fYear
2011
fDate
7-9 Sept. 2011
Firstpage
111
Lastpage
112
Abstract
A strategy is proposed that enhances the local feature matching capabilities of the SURF descriptor by utilising colour histograms. The results compare variations of the RGB, HSV and Opponent colour spaces on a dataset of image pairs that undergo illumination, viewpoint and translational changes. This study finds the most appropriate colour space that enhances the distinctiveness of a descriptor when applied to the matching of corresponding features in arbitrary image sets.
Keywords
image colour analysis; image matching; HSV; RGB; SURF descriptor; arbitrary image sets; colour histograms; enhancing SURF feature matching; local feature matching; opponent colour spaces; Detectors; Equations; Histograms; Image color analysis; Lighting; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Vision and Image Processing Conference (IMVIP), 2011 Irish
Conference_Location
Dublin
Print_ISBN
978-1-4673-0230-2
Type
conf
DOI
10.1109/IMVIP.2011.31
Filename
6167853
Link To Document