DocumentCode :
249969
Title :
Evaluating the performance and correlation of colour invariant local image feature detectors
Author :
Barroso, Tony Marrero ; Ghita, Ovidiu ; Whelan, Paul F.
Author_Institution :
Centre for Image Process. & Anal., Dublin City Univ., Dublin, Ireland
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
5751
Lastpage :
5755
Abstract :
This paper evaluates the performance of state of the art colour invariants for the purposes of local image feature detection. We adapt the Harris-Laplace detector for colour invariance and test it under general image distortions. A second investigation examines the correlation between the colour invariants where the number of correctly detected unique points are analysed. This paper aims to answer if colour invariants should be used for feature detection purposes, and if they could be jointly used by feature fusion techniques to augment the performance of intensity-based detectors.
Keywords :
Laplace equations; correlation methods; feature extraction; image colour analysis; image fusion; Harris-Laplace detector; colour invariants; correlation; feature fusion techniques; general image distortions; intensity-based detectors; local image feature detection; performance evaluation; Correlation; Detectors; Feature extraction; Image color analysis; Imaging; Lighting; Robustness; Harris-Laplace; colour detector; colour invariants; local feature detection; photometric invariance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7026163
Filename :
7026163
Link To Document :
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