Color based object recognition
Assuming white illumination and dichromatic reflectance, we propose new color models c1c2c3 and l1l2l3 invariant to the viewing direction, object geometry and shading. Further, it is shown that l1l2l3 is also invariant to highlights. Further, a change in spectral power distribution of the illumination is considered to propose a new photometric color invariant m1m2m3 for matte objects.
To evaluate photometric color invariant object recognition in practice, experiments have been carried out on a database consisting of 500 images taken from 3-D multicolored man-made objects.
On the basis of the reported theory and experimental results, it is shown that high object recognition accuracy is achieved by l1l2l3 and hue H followed by c1c2c3 and normalized colors rgb under the constraint of white illumination. Finally, it is shown that solely m1m2m3 is invariant to a change in illumination color.
KeywordsObject Recognition Surface Albedo Color Feature Illumination Intensity Ranking Percentile
- 1.Finlayson, G. D., Drew M. S., and Funt B. V., Spectral Sharpening: Sensor Transformations for improved Color Constancy J. Opt. Sec. Am., 11(5), pp. 1553–1563, 1994.Google Scholar
- 2.Funt, B. V. and Finlayson, G. D., Color Constant Color Indexing, IEEE PAMI, 17(5), pp. 522–529, 1995.Google Scholar
- 3.Gevers, T., Color Image Invariant Segmentation and Retrieval, PhD Thesis, ISBN 90-74795-51-X, University of Amsterdam, The Netherlands, 1996.Google Scholar
- 4.Healey, G. and Slater D, Global Color Constancy: Recognition of Objects by Use of Illumination Invariant Properties of Color Distributions, J. Opt. Soc. Am. A, Vol. 11, No. 11, pp. 3003–3010, Nov 1995.Google Scholar
- 5.Shafer, S. A., Using Color to Separate Reflection Components, COLOR Res. Appl., 10(4), pp 210–218, 1985.Google Scholar
- 6.Swain, M. J. and Ballard, D. H., Color Indexing, Int. Journal of CV, Vol. 7, No. 1, pp. 11–32, 1991.Google Scholar