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Uncalibrated Photometric Stereo for 3 D Surface Texture Recovery

This dissertation presents a new photometric stereo method for estimating the surface normal and the surface reflectance of objects without a priori knowledge of the light-source direction or the light-source intensity. In this method, assuming only that the object’s surface is Lambertian, the surface normal, and the surface reflectance, the light-source direction, and the lightsource intensity can be determined simultaneously. This method does not rely on any smoothness assumptions for these parameters. Furthermore, as the number of intensity images increases, the surface normal, the surface reflectance, the light-source direction, and the light-source intensity errors become smaller even if the intensity images are taken in a noisy environment. Many experiments are carried out in order to assess the accuracy of this method. The investigation has been checked considering different kinds of surfaces.