Evaluating the performance and correlation of colour invariant local image feature detectors

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.

[1]  Arnold W. M. Smeulders,et al.  Color Invariance , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Joost van de Weijer,et al.  Edge and corner detection by photometric quasi-invariants , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Joost van de Weijer,et al.  Robust photometric invariant features from the color tensor , 2006, IEEE Transactions on Image Processing.

[4]  Cordelia Schmid,et al.  A Performance Evaluation of Local Descriptors , 2005, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Nicu Sebe,et al.  Sparse Color Interest Points for Image Retrieval and Object Categorization , 2012, IEEE Transactions on Image Processing.

[6]  Gertjan J. Burghouts,et al.  Performance evaluation of local colour invariants , 2009, Comput. Vis. Image Underst..

[7]  Martial Hebert,et al.  Extracting Scale and Illuminant Invariant Regions through Color , 2006, BMVC.

[8]  Nozha Boujemaa,et al.  Object-based queries using color points of interest , 2001, Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL 2001).

[9]  Rachid Deriche,et al.  Differential invariants for color images , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[10]  Flore Faille.  Stable Interest Point Detection under Illumination Changes Using Colour Invariants , 2005, BMVC.

[11]  Cordelia Schmid,et al.  Scale & Affine Invariant Interest Point Detectors , 2004, International Journal of Computer Vision.

[12]  Christopher Joseph Pal,et al.  Learning Conditional Random Fields for Stereo , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[13]  Joost van de Weijer,et al.  Boosting color saliency in image feature detection , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  Tony Lindeberg,et al.  Feature Detection with Automatic Scale Selection , 1998, International Journal of Computer Vision.