Recovering shape and reflectance properties from a sequence of range and color images
For synthesizing realistic images of a real three dimensional object, reflectance properties of the object surface, as well as the object shape, need to be measured. This paper describes one approach to create a three dimensional object model with physically correct reflectance properties by observing a real object. The approach consists of three steps. First, a sequence of range images and color images is measured by rotating a real object on a rotary table with fixed viewing and illumination directions. Then, the object shape is obtained as a collection of triangular patches by merging multiple range images. Secondly, by using the recovered object shape, color pixel intensities of the color image sequence are separated into the diffuse reflection component and the specular reflection component. Finally the separated reflection components are used to estimate parameters of the Lambertian reflection model and a simplified Torrance-Sparrow reflection model. We have successfully tested our approach by using images of a real object. Synthesized images of the object under arbitrary illumination conditions are shown in this paper.