Light Field from Smartphone-Based Dual Video

  • Bernd Krolla
  • Maximilian Diebold
  • Didier Stricker
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8926)


In this work, we introduce a light field acquisition approach for standard smartphones. The smartphone is manually translated along a horizontal rail, while recording synchronized video with front and rear camera. The front camera captures a control pattern, mounted parallel to the direction of translation to determine the smartphones current position. This information is used during a postprocessing step to identify an equally spaced subset of recorded frames from the rear camera, which captures the actual scene. From this data we assemble a light field representation of the scene. For subsequent disparity estimation, we apply a structure tensor approach in the epipolar plane images.

We evaluate our method by comparing the light fields resulting from manual translation of the smartphone against those recorded with a constantly moving translation stage.


Computer vision Light field imaging Video processing 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Bernd Krolla
    • 1
  • Maximilian Diebold
    • 2
  • Didier Stricker
    • 1
  1. 1.German Research Center for Artificial IntelligenceKaiserslauternGermany
  2. 2.Heidelberg Collaboratory for Image ProcessingHeidelbergGermany

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