Reconstruction of geometrical and reflection properties of surfaces by using structured light imaging technique

Abstract

When a robust and dense surface reconstruction is aimed, structured light imaging techniques are usuallymuch appreciated. In this paper we propose a method to reconstruct both geometrical and reflective properties ofsurfaces by using structured light imaging. We use a technique where a camera and a projector are both treated asviewing devices. They are calibrated in the same manner. Each visible point can be correctly located on both imageplanes without solving a correspondence problem; hence, a dense reconstruction can be obtained. Since both the cameraand the projector are explicitly calibrated, lighting and viewing directions can be identified for each surface point. Itis also possible to measure reflected radiance by using high dynamic range (HDR) images for each surface point. Thelighting and viewing directions that are known after calibration are combined with the reflected radiance and the incomingirradiance measurements to determine the bidirectional reflectance distribution function (BRDF) values of the materialat the reconstructed surface points. We illustrate the reconstruction of surface reflection properties of sample surfacesby fitting the Phong BRDF model to the BRDF measurements.