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