Resolving multipath interference in time-of-flight imaging via modulation frequency diversity and sparse regularization
Name
Raskar_Resolving multipath.pdf
Size
4.16 MB
Format
Adobe PDF
Checksum (MD5)
09b21299acf30d87b2e3689ee2448d3d
Author(s) • • • • • •
Bhandari, Ayush
Kadambi, Achuta
Whyte, Refael
Barsi, Christopher
Feigin, Micha
Dorrington, Adrian
Raskar, Ramesh
Date Issued
March 2014
Journal
Optics Letters
Publisher
Optical Society of America
Citation
Bhandari, Ayush, Achuta Kadambi, Refael Whyte, Christopher Barsi, Micha Feigin, Adrian Dorrington, and Ramesh Raskar. “Resolving Multipath Interference in Time-of-Flight Imaging via Modulation Frequency Diversity and Sparse Regularization.” Optics Letters 39, no. 6 (2014): 1705.
Version
Original manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1364/ol.39.001705