"The best fuzzy rules, the best knowledge, deal with the turning points of the system. If a race-car driver teaches you how to drive, you don't need him to show you how to drive on the straightaway. It's how he handles the curves that matters."
- Bart Kosko

It is particularly difficult to obtain digital models that correctly capture fine texture details:

Several views of each object are captured with different camera and light source positions. For each view, we acquire a series of photographs of the object lit by the point light source, with varying exposure time from which a high dynamic range image [2] is calculated. After calibrating with the known brightness of the lamp, each pixel of the high dynamic range images contains full range, floating point radiance samples. Furthermore, we take two images to recover the light source position relative to the camera and one image of the object's silhouette to register the 3D geometry model with the images [8]. In a production environment, the 3D scanner, camera, light source, and the test object could be combined into single, calibrated gantry to speed up the acquisition process and to render the registration unnecessary.