Classifying Body and Surface Reflections Using Expectation-Maximization
نویسندگان
چکیده
This paper presents a new method for the classification of dielectrical object’s RGB values into their body and surface reflections. Instead of segmenting into the two reflection components a weight is estimated that a given pixel belongs to one of them. A weighting value may be useful for classification of body and surface reflections in combination with other methods. The method operates globally on the pixel points using expectation maximization for fitting the body and surface vectors in the case of one highlight reflection. In the case of multiple highlights it is shown that it is possible to relax the method by fitting one surface vector to multiple highlights. The method was empirically validated on real image data captured using a high dynamic imaging sensor (120dB). Promising results show that the method is capable of classifying the two reflection components.
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