On the Interaction between Object Recognition and Colour Constancy

In this paper we investigate some aspects of the interaction between colour constancy and object recognition. We demonstrate that even under severe changes of illumination, many objects are reliably recognised if relying only on geometry and on invariant representation of local colour appearance. We feel that colour constancy as a preprocessing step of an object recognition algorithm is important only in cases when colour is major (or the only available) clue for object discrimination. We also show that successful object recognition allows for ”colour constancy by recognition” – an approach where the global photometric transformation is estimated from locally corresponding image patches.

[1]  Glenn Healey,et al.  Using color for geometry-insensitive segmentation , 1989 .

[2]  G D Finlayson,et al.  Spectral sharpening: sensor transformations for improved color constancy. , 1994, Journal of the Optical Society of America. A, Optics, image science, and vision.

[3]  M. S. Drew,et al.  Color constancy - Generalized diagonal transforms suffice , 1994 .

[4]  Glenn Healey,et al.  The Illumination-Invariant Recognition of 3D Objects Using Local Color Invariants , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Stepán Obdrzálek,et al.  Local affine frames for wide-baseline stereo , 2002, Object recognition supported by user interaction for service robots.

[6]  Stepán Obdrzálek,et al.  Object Recognition using Local Affine Frames on Distinguished Regions , 2002, BMVC.

[7]  Stepán Obdrzálek,et al.  Local Affine Frames for Image Retrieval , 2002, CIVR.

[8]  Jiri Matas,et al.  Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..

[9]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.