A Light Transport Model for Mitigating Multipath Interference in Time-of-Flight Sensors

Nikhil Naik, Achuta Kadambi, Christoph Rhemann, Shahram Izadi, Ramesh Raskar, Sing Bing Kang; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 73-81

Abstract


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.

Related Material


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[bibtex]
@InProceedings{Naik_2015_CVPR,
author = {Naik, Nikhil and Kadambi, Achuta and Rhemann, Christoph and Izadi, Shahram and Raskar, Ramesh and Bing Kang, Sing},
title = {A Light Transport Model for Mitigating Multipath Interference in Time-of-Flight Sensors},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2015}
}