Inspection of Shiny Surface Using a Laser Range Finder

model [2] has been generally considered in both computer graphics and computer vision areas as a good Since the surface reflectance is a function of the geophysics-based model to describe the specular reflecmetrical components and the physical surface chartion of rough surfaces. However, since this model is acteristics, the reflectance parameters can be esticomplicated in nature, the simplified TS (STS) model mated from the brightness, range data and its reh, heen widely used instead 14, 51. lation1 2.e. reflectance function. In this Paper, we Fortunately, several reflectance parameter estimaestimate the surface reflectance parameters by aPtion algorithms for the STS model such as partial plying the partially linear to the simplified linear method (PLM) [5] can prove the sufficiency of ~orrance-Sparrow reflectance model and inspect the the input. Thus, we estimate the surface roughness flaws on shiny surfaces by using the estimated rebased on the STS model using the P L ~ I . flectance parameters In order to extend the dynamic A~~~~ the various range finders, in this paper, range CCD laser finder, we the the laser range finder is used, since the laser range pseudo brightness, instead of the brightness. The finder provides several advantages over the conven~ r o ~ o s e d algorithm is tested on the synthesized and tional image-based range finders. The main advanreal output of a laser range finder. tage is that the laser range finder is independent to ambient light because it employs an optical filter to