Model estimation for photometric changes of outdoor planar color surfaces caused by changes in illumination and viewpoint

We compare different ways of representing the global photometric changes in image intensities caused by changes in illumination and viewpoint, aiming at a balance between goodness-of-fit and low complexity. A series of model selection tests are performed for the case of outdoor imagery consisting of several views of several instances of billboards taken under different viewing angles and different illumination (natural light). Possible candidates for a transformation model on (R,G,B) color space are investigated and different approaches for the model selection problem are considered. The results are used within ongoing research into computation of new invariant features for planar color patterns, as the model choice is an important issue to decide on when extracting invariants. These results can be of benefit to other areas of research into color pattern or object recognition.

[1]  E. R. Dixon.  Spectral distribution of Australian daylight , 1978 .

[2]  H. Akaike.  A new look at the statistical model identification , 1974 .

[3]  Charles V. Stewart,et al.  Robust Parameter Estimation in Computer Vision , 1999, SIAM Rev..

[4]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .

[5]  Glenn Healey,et al.  What is the spectral dimensionality of illumination functions in outdoor scenes? , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[6]  Philip H. S. Torr,et al.  Model Selection for Two View Geometry: A Review , 1999, Shape, Contour and Grouping in Computer Vision.

[7]  Shree K. Nayar,et al.  Seeing Beyond Lambert's Law , 1994, ECCV.

[8]  Patrick Gros.  Color illumination models for image matching and indexing , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[9]  Arnold W. M. Smeulders,et al.  A comparative study of several color models for color image invariant retrieval , 1996 .

[10]  Brian V. Funt,et al.  Color Constant Color Indexing , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

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

[12]  Ron Gershon,et al.  Measurement and Analysis of Object Reflectance Spectra , 1994 .

[13]  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.

[14]  Jie Wei,et al.  On illumination invariance in color object recognition , 1998, Pattern Recognit..