Exploiting Wavelength Diversity for High Resolution Time-of-Flight 3D Imaging

Fengqiang Li, Florian Willomitzer, Muralidhar Madabhushi Balaji, Prasanna Rangarajan, Oliver Cossairt

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The poor lateral and depth resolution of state-of-The-Art 3D sensors based on the time-of-flight (ToF) principle has limited widespread adoption to a few niche applications. In this work, we introduce a novel sensor concept that provides ToF-based 3D measurements of real world objects and surfaces with depth precision up to 35\mu mμm and point cloud densities commensurate with the native sensor resolution of standard CMOS/CCD detectors (up to several megapixels). Such capabilities are realized by combining the best attributes of continuous wave ToF sensing, multi-wavelength interferometry, and heterodyne interferometry into a single approach. We describe multiple embodiments of the approach, each featuring a different sensing modality and associated tradeoffs.

Original languageEnglish (US)
Article number9411705
Pages (from-to)2193-2205
Number of pages13
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Volume43
Issue number7
DOIs
StatePublished - Jul 1 2021

Keywords

  • Three-dimensional imaging
  • computational photography
  • optical interferometry

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Applied Mathematics
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics

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