  Continuous-wave Time-of-flight (TOF) range imaging has become a commercially
viable technology with many applications in computer vision and graphics.
However, the depth images obtained from TOF cameras contain scene dependent
errors due to multipath interference (MPI). Specifically, MPI occurs when
multiple optical reflections return to a single spatial location on the imaging
sensor. Many prior approaches to rectifying MPI rely on sparsity in optical
reflections, which is an extreme simplification. In this paper, we correct MPI
by combining the standard measurements from a TOF camera with information from
direct and global light transport. We report results on both simulated
experiments and physical experiments (using the Kinect sensor). Our results,
evaluated against ground truth, demonstrate a quantitative improvement in depth
accuracy.
