Overview of 3D profilometry using integral imaging

This paper presents an overview of previously published reports on three-dimensional (3D) Profilometry for visualization of objects using Integral Imaging (InIm). The method was initially proposed for imaging in free space to map color, depth, and texture of multiple objects on a 3D surface. The advantage of 3D profilometric reconstruction versus conventional InIm planar reconstruction is that the former can optically slice the entire object depth within a range of voxels whereas the latter presents the depth of a single plane. Later, this method was studied for flexible sensing integral imaging for occlusion removal. This work which combined two-view geometry for camera pose estimation and 3D occluded object recognition demonstrated that 3D profilometric reconstruction not only can mitigate the effects of occlusion but is also perceptually better than conventional InIm reconstruction.