Estimating 3-D Orientation from 1-D Projections with Applications to Radar

摘要

We focus on the specific problem of inversion of a collection of one-dimensional projections to reconstruct a three-dimensional image of a rigid body and estimate its orientation. We assume correspondence of the points in the projections is given and derive several useful results leading to an iterative solution algorithm and a fundamental understanding of its possible scope. Finally, the algorithm was simulated on synthetic HRR data which verified its function and convergence.