suming and can be a bottle neck for realistic image syn-For synthesizing realistic images of a real three dimensional thesis. Therefore, techniques to obtain object models object, reflectance properties of the object surface, as well as automatically by observing a real object could have a great the object shape, need to be measured. This paper describes impact in practical applications.
one approach to create a three dimensional object model with
Techniques for measuring the geometric information by physically correct reflectance properties by observing a real using range data from real objects have received much object. The approach consists of three steps. First, a sequence attention recently. Turk and Levoy developed a system of range images and color images is measured by rotating a which can merge multiple surface meshes one by one, using real object on a rotary table with fixed viewing and illumination two step strategy: registration by the iterative closest-point directions. Then, the object shape is obtained as a collection algorithm (ICP algorithm) and integration by the zippering of triangular patches by merging multiple range images. Second, by using the recovered object shape, color pixel intensities algorithm [23]. Higuchi et al. have developed a method of the color image sequence are mapped to the object surface for merging multiple range views of a free-form surface and separated into the diffuse and specular reflection compoobtained from arbitrary viewing directions, with no initial nents. Finally, the separated reflection components are used to estimation of relative transformation among those viewing estimate parameters of the Lambertian reflection model and a directions [6]. The method is based on the spherical attrisimplified Torrance-Sparrow reflection model. We have sucbute image (SAI) representation of free-form surfaces cessfully tested our approach using images of a real object. which was originally introduced by Delingette et al. in [4].