Light Field Reconstruction Using a Planar Patch Model

  • Adam Bowen
  • Andrew Mullins
  • Roland Wilson
  • Nasir Rajpoot
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)

Abstract

Light fields are known for their potential in generating 3D reconstructions of a scene from novel viewpoints without need for a model of the scene.Reconstruction of novel views, however, often leads to ghosting artefacts, which can be relieved by correcting for the depth of objects within the scene using disparity compensation. Unfortunately, reconstructions from this disparity information suffer from a lack of information on the orientation and smoothness of the underlying surfaces. In this paper, we present a novel representation of the surfaces present in the scene using a planar patch approach.We then introduce a reconstruction algorithm designed to exploit this patch information to produce visually superior reconstructions at higher resolutions. Experimental results demonstrate the effectiveness of this reconstruction technique using high quality patch data when compared to traditional reconstruction methods.

Keywords

Visual Hull Scene Geometry Disparity Information Planar Patch Camera Plane 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Adam Bowen
    • 1
  • Andrew Mullins
    • 1
  • Roland Wilson
    • 1
  • Nasir Rajpoot
    • 1
  1. 1.Signal & Image Processing Group, Department of Computer ScienceUniversity of WarwickCoventryEngland

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