Shape measurement method integrating stereo vision and shape-from-shading with evolutionary programming

Abstract

In this paper, we propose a new method for measuring the shape of objects. The proposed method is based on integrating stereo vision and shape-from-shading with evolutionary programming (EP). In some traditional methods the reflection of objects is treated as diffused reflection. However, the reflection of real objects consists of diffused and specular reflections, thus some methods cannot be applied to real objects. Photometric stereo can be applied to real objects, but this method needs many original images for measuring the shape accurately. The proposed method can apply Phong model to a reflectivity function and measure the shape of the object which have the effect of diffused and specular reflections. The method described using EP identifies the reflectivity function accurately.