Active Guidance for Light-Field Photography on Smartphones

Research output: Contribution to journalArticlepeer-review

Abstract

We present a novel approach for guided light-field photography using off-the-shelf smartphones. In contrast to previous work that requires the user to decide where next to position a mobile camera, we actively compute and visualize during runtime a recommendation for the next sampling position and orientation taking into account the current camera pose and required camera alignments. This supports efficient capture of various types of large-field-of-view light fields in just a matter of minutes and without specialized camera equipment. To further reduce the overall capture time, we describe an extension of our guidance algorithm to collaborative light-field photography by small groups of users.
Original languageEnglish
Pages (from-to)127-135
Number of pages9
JournalComputers and Graphics
Volume53
DOIs
Publication statusPublished - Dec 2015

Fields of science

  • 102 Computer Sciences
  • 102003 Image processing
  • 102008 Computer graphics
  • 102015 Information systems
  • 102020 Medical informatics
  • 103021 Optics

JKU Focus areas

  • Engineering and Natural Sciences (in general)

Cite this