Profilometry and optical slicing by passive three-dimensional imaging

Abstract

Passive three-dimensional (3D) imaging is an enabling technology for a number of applications. We present a technique for profilometry and optical slicing of objects using 3D multiperspective imaging. We use the spectral radiation pattern (SRP) in object space and establish its relationship to different perspective images. A method is proposed to infer the depth of Lambertian surfaces from the statistics of the SRP. Experimental results are presented to show the feasibility of this method. To the best of our knowledge, this is the first time that statistics of the ray intensity-angle is used for 3D depth mapping.