A semi-interactive panorama based 3D reconstruction framework for indoor scenes

  • Authors:

  • Trung Kien Dang;Marcel Worring;The Duy Bui

  • Affiliations:

  • Intelligent Systems Lab Amsterdam, Informatics Institute, University of Amsterdam, The Netherlands;Intelligent Systems Lab Amsterdam, Informatics Institute, University of Amsterdam, The Netherlands;Human Machine Interaction Laboratory, University of Engineering and Technology, Vietnam National University, Hanoi, Viet Nam

  • Venue:
  • Computer Vision and Image Understanding
  • Year:
  • 2011

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Abstract

We present a semi-interactive method for 3D reconstruction specialized for indoor scenes which combines computer vision techniques with efficient interaction. We use panoramas, popularly used for visualization of indoor scenes, but clearly not able to show depth, for their great field of view, as the starting point. Exploiting user defined knowledge, in term of a rough sketch of orthogonality and parallelism in scenes, we design smart interaction techniques to semi-automatically reconstruct a scene from coarse to fine level. The framework is flexible and efficient. Users can build a coarse walls-and-floor textured model in five mouse clicks, or a detailed model showing all furniture in a couple of minutes interaction. We show results of reconstruction on four different scenes. The accuracy of the reconstructed models is quite high, around 1% error at full room scale. Thus, our framework is a good choice for applications requiring accuracy as well as application requiring a 3D impression of the scene.