Resolving multipath interference in time-of-flight imaging via modulation frequency diversity and sparse regularization
Optics letters, 2014•opg.optica.org
Time-of-flight (ToF) cameras calculate depth maps by reconstructing phase shifts of
amplitude-modulated signals. For broad illumination of transparent objects, reflections from
multiple scene points can illuminate a given pixel, giving rise to an erroneous depth map.
We report here a sparsity-regularized solution that separates K interfering components using
multiple modulation frequency measurements. The method maps ToF imaging to the
general framework of spectral estimation theory and has applications in improving depth …
amplitude-modulated signals. For broad illumination of transparent objects, reflections from
multiple scene points can illuminate a given pixel, giving rise to an erroneous depth map.
We report here a sparsity-regularized solution that separates K interfering components using
multiple modulation frequency measurements. The method maps ToF imaging to the
general framework of spectral estimation theory and has applications in improving depth …
Time-of-flight (ToF) cameras calculate depth maps by reconstructing phase shifts of amplitude-modulated signals. For broad illumination of transparent objects, reflections from multiple scene points can illuminate a given pixel, giving rise to an erroneous depth map. We report here a sparsity-regularized solution that separates K interfering components using multiple modulation frequency measurements. The method maps ToF imaging to the general framework of spectral estimation theory and has applications in improving depth profiles and exploiting multiple scattering.
opg.optica.org