Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging

Suren Jayasuriya, Adithya Pediredla, Sriram Sivaramakrishnan, Alyosha Molnar, Ashok Veeraraghavan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations


A variety of techniques such as light field, structured illumination, and time-of-flight (TOF) are commonly used for depth acquisition in consumer imaging, robotics and many other applications. Unfortunately, each technique suffers from its individual limitations preventing robust depth sensing. In this paper, we explore the strengths and weaknesses of combining light field and time-of-flight imaging, particularly the feasibility of an on-chip implementation as a single hybrid depth sensor. We refer to this combination as depth field imaging. Depth fields combine light field advantages such as synthetic aperture refocusing with TOF imaging advantages such as high depth resolution and coded signal processing to resolve multipath interference. We show applications including synthesizing virtual apertures for TOF imaging, improved depth mapping through partial and scattering occluders, and single frequency TOF phase unwrapping. Utilizing space, angle, and temporal coding, depth fields can improve depth sensing in the wild and generate new insights into the dimensions of light's plenoptic function.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 International Conference on 3D Vision, 3DV 2015
EditorsMichael Brown, Jana Kosecka, Christian Theobalt
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages9
ISBN (Electronic)9781467383325
StatePublished - Nov 20 2015
Externally publishedYes
Event2015 International Conference on 3D Vision, 3DV 2015 - Lyon, France
Duration: Oct 19 2015Oct 22 2015


Other2015 International Conference on 3D Vision, 3DV 2015


  • Apertures
  • Cameras
  • Image resolution
  • Lenses
  • Optical imaging
  • Sensors

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition


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