Resolving Multi-path Interference in Time-of-Flight Imaging via Modulation Frequency Diversity and Sparse Regularization

摘要

Time-of-flight (ToF) cameras calculate depth maps by reconstructing phaseshifts of amplitude-modulated signals. For broad illumination or transparentobjects, reflections from multiple scene points can illuminate a given pixel,giving rise to an erroneous depth map. We report here a sparsity regularizedsolution that separates K-interfering components using multiple modulationfrequency measurements. The method maps ToF imaging to the general framework ofspectral estimation theory and has applications in improving depth profiles andexploiting multiple scattering.