Kinh Tieu, Erik Miller
In  we introduced a linear statistical model of joint color changes in images due to variation in lighting and certain non-geometric camera pa- rameters. We did this by measuring the mappings of colors in one image of a scene to colors in another image of the same scene under different lighting conditions. Here we increase the ﬂexibility of this color ﬂow model by allowing ﬂow coefﬁcients to vary according to a low order polynomial over the image. This allows us to better ﬁt smoothly vary- ing lighting conditions as well as curved surfaces without endowing our model with too much capacity. We show results on image matching and shadow removal and detection.