Illumination-robust Pattern Matching Using Distorted Color Histograms

It is argued that global illumination should be modeled separately from other incidents that change the appearance of objects. The effects of intensity variations of the global illumination are discussed and constraints deduced that restrict the shape of a function that maps the histogram of a template to the histogram of an image location. This approach is illustrated for simple pattern matching and for a combination with a PCA (\emph{Eigenface}) model of the grey-level appearance.


Editor(s):
Radig, B.
Niemann, H.
Zhuravlev, Y.
Gourevitch, I.
Laptev, I.
Published in:
Pattern Recognition and Image Understanding, 259-266
Presented at:
Pattern Recognition and Image Understanding
Year:
1999
Publisher:
Sankt Augustin, Infix
Keywords:
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

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