Illumination Invariant Colour Recognition

The article describes a colour based recognition system with three novel features. Firstly, the proposed system can operate in environments where spectral characteristics of illumination change in both space and time. Secondly, benefits in terms of speed and quality of output are gained by focusing processing to areas of salient colour. Finally, an automatic model acquisition procedure allows rapid creation of the model database.

[1]  M. S. Drew,et al.  Diagonal Transforms Suuce for Color Constancy , 1993 .

[2]  Jiri Matas,et al.  Generation, Verification and Localization of Object Hypotheses based on Colour , 1993, BMVC.

[3]  Steven A. Shafer,et al.  Using color to separate reflection components , 1985 .

[4]  L. Maloney.  Evaluation of linear models of surface spectral reflectance with small numbers of parameters. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[5]  Thomas O. Binford,et al.  Local shape from specularity , 1988, Comput. Vis. Graph. Image Process..

[6]  Yuichi Ohta,et al.  An approach to color constancy using multiple images , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[7]  T. Kanade,et al.  USING A COLOR REFLECTION MODEL TO SEPARATE HIGHLIGHTS FROM OBJECT COLOR , 1987 .

[8]  Shoji Tominaga,et al.  Surface Identification Using the Dichromatic Reflection Model , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Mark S. Drew,et al.  Diagonal transforms suffice for color constancy , 1993, 1993 (4th) International Conference on Computer Vision.

[10]  L. Maloney,et al.  Color constancy: a method for recovering surface spectral reflectance. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[11]  David A. Forsyth,et al.  A Novel Approach To Colour Constancy , 1988, [1988 Proceedings] Second International Conference on Computer Vision.

[12]  Josef Kittler,et al.  A locally sensitive method for cluster analysis , 1976, Pattern Recognit..