Recovering shape and reflectance properties from a sequence ofrange and color images

摘要

For synthesizing realistic images of a real three dimensionalobject, reflectance properties of the object surface, as well as theobject shape, need to be measured. This paper describes one approach tocreate a three dimensional object model with physically correctreflectance properties by observing a real object. The approach consistsof three steps. First, a sequence of range images and color images ismeasured by rotating a real object on a rotary table with fixed viewingand illumination directions. Then, the object shape is obtained as acollection of triangular patches by merging multiple range images.Secondly, by using the recovered object shape, color pixel intensitiesof the color image sequence are separated into the diffuse reflectioncomponent and the specular reflection component. Finally the separatedreflection components are used to estimate parameters of the Lambertianreflection model and a simplified Torrance-Sparrow reflection model. Wehave successfully tested our approach by using images of a real object.Synthesized images of the object under arbitrary illumination conditionsare shown in this paper