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Show 50 'curve interpolation techniques eventual of does not to be possible at the moment with the current seem to compute the coefficients of a cubic implementation and problems involved higher degree will function. in the of use of Discussions an an interpolation curve' be presented later. . IV. 4 Cornp ar ison of pictures. Many pictures They have been generated with the described illumination model. first compared with are techniques, and then with pictures of objects rendered pictures of real objects like different' shading with cones, and cylinders spheres. When' the pictorial comparison is made between synthetic images generated with .ditfer ent shading simulation conditions the techniques, the are the same numerical for each method. comparison between method and pictures of real objects, a larger In generated pictures synthetic model used and the to order with the have lighting a good improved shading numerical data base is used in the ' model. The image, so. rendered images, give a a of purpose this is to smooth the silhouette of the that the observer is not distracted by the When objects, considering only the non-smooth shading quality much smaller data base is needed to obtain the completely The first, sole profile of the still the synthetic, result, but does a of a 12-sided cone pictorial comparison model in Figure 4.7 have between different two not high with a smaller data base. purposes: shading techniques, and method shows that the second, the picture generated with the improved theshading is of smooth contour. pictures they give same synthetic quality of |