Automatic 3D Reconstruction of Indoor Manhattan World Scenes Using Kinect Depth Data

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8753)

Abstract

This paper discusses a system to reconstruct indoor scenes automatically and evaluates its accuracy and applicability. The focus is on the realization of a simple, quick and inexpensive way to map empty or slightly furnished rooms. The data is acquired with a Kinect sensor mounted onto a pan-tilt head. The Manhattan world assumption is used to approximate the environment. The approach for determining the wall, floor and ceiling planes of the rooms is based on a plane sweep method. The floor plan is reconstructed from the detected planes using an iterative flood fill algorithm. Furthermore, the developed method allows to detect doors and windows, generate 3D models of the measured rooms and to merge multiple scans.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Institute of Computer ScienceKiel UniversityKielGermany

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