Establishing the performance of low-cost Lytro cameras for 3D coordinate geometry measurements

Shreedhar Rangappa, Ranveer Matharu, Jon Petzing, Peter Kinnell

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
47 Downloads (Pure)

Abstract

Lytro cameras are equipped to capture 3D information in one exposure without the need for structured illumination, allowing greyscale depth maps of the captured image to be created using the Lytro desktop software. These consumer-grade light-field cameras (Lytro) provide a cost-effective method of measuring the depth of multiple objects which is suitable for many applications. But, the greyscale depth maps generated using the Lytro cameras are in relative depth scale and hence not suitable for engineering applications where absolute depth is essential. In this research, camera control variables, environmental sensitivity, depth distortion characteristics, and the effective working range of first- and second-generation Lytro cameras were evaluated. In addition, a depth measuring technique to deliver 3D output depth maps represented in SI units (metres) is discussed in detail exhibiting the suitability of consumer-grade Lytro cameras suitability in metrological applications without significant modifications.

Original languageEnglish
Pages (from-to)615-627
Number of pages13
JournalMachine Vision and Applications
Volume30
Issue number4
Early online date4 Mar 2019
DOIs
Publication statusPublished - 1 Jun 2019
Externally publishedYes

Bibliographical note

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativeco
mmons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate
credit to the original author(s) and the source, provide a link to the
Creative Commons license, and indicate if changes were made

Keywords

  • Coordinate geometry
  • Depth values
  • Lytro camera
  • Machine vision
  • Plenoptic camera
  • Response curve

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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