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Baseline and triangulation geometry in a standard plenoptic camera

Research Output: Contribution to journal Article Peer-review

Open access

Abstract

In this paper, we demonstrate light field triangulation to determine depth distances and baselines in a plenoptic camera. The advancement of micro lenses and image sensors enabled plenoptic cameras to capture a scene from different viewpoints with sufficient spatial resolution. While object distances can be inferred from disparities in a stereo viewpoint pair using triangulation, this concept remains ambiguous when applied in case of plenoptic cameras. We present a geometrical light field model allowing the triangulation to be applied to a plenoptic camera in order to predict object distances or to specify baselines as desired. It is shown that distance estimates from our novel method match those of real objects placed in front of the camera. Additional benchmark tests with an optical design software further validate the model’s accuracy with deviations of less than 0:33 % for several main lens types and focus settings. A variety of applications in the automotive and robotics field can benefit from this estimation model.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 21-35

Journal (Volume, Issue Number)

International Journal of Computer Vision (Volume 126, Issue 1)

Publication milestones

  • Accepted/In press - 20/07/2017
  • Published - 20/08/2017

Publication status

Published - 20/08/2017

ISSN

0920-5691

External Publication IDs

  • handle.net: 10547/622229
  • Scopus: 85027851742

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