We present a method to give color advice for Home Decor using images of room finishes, such as paint, flooring, or textiles, taken with uncalibrated cameras. Due to variations in color ren-dering across devices, an object imaged with different cameras will have different color values. Color information can still be ac-curately retrieved from uncalibrated images taken under uncon-trolled lighting conditions with an unknown device and no access to raw data, when a limited number of known reference colors are available in the scene. We demonstrate that the color of any object can be corrected using a number of calibration targets. A colored object is imaged with an appropriate calibration target in the scene. This target is extracted and its color values are used to compute a color cor-rection transform that is applied to the entire image. Our system finds the closest match of the imaged object to a database of color coordinated paints. We can then supply the users with the appro-priate color coordinates. Our results were validated by a Home Decor- expert.
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