Research Output

Online view sampling for estimating depth from light fields

  Geometric information such as depth obtained from light fields
finds more applications recently. Where and how to sample
images to populate a light field is an important problem to
maximize the usability of information gathered for depth reconstruction.
We propose a simple analysis model for view sampling and an adaptive, online sampling algorithm tailored to light field depth reconstruction. Our model is based on the trade-off between visibility and depth resolvability for varying sampling locations, and seeks the optimal locations that best balance the two conflicting criteria.

  • Date:

    10 December 2015

  • Publication Status:


  • Publisher


  • DOI:


  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    006 Special Computer Methods

  • Funders:

    European Commission


Kim, C., Subr, K., Mitchell, K., Sorkine-Hornung, A., & Gross, M. (2015). Online view sampling for estimating depth from light fields. In 2015 IEEE International Conference on Image Processing (ICIP)doi:10.1109/icip.2015.7350981



Light fields, geometric information, image sampling, image reconstruction,

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