Indoor Calibration Using Segment Chains

نویسندگان

  • Jamil Draréni
  • Renaud Keriven
  • Renaud Marlet
چکیده

In this paper, we present a new method for line segments matching for indoor reconstruction. Instead of matching individual segments via a descriptor like most methods do, we match segment chains that have a distinctive topology using a dynamic programing formulation. Our method relies solely on the geometric layout of the segment chain and not on photometric or color profiles. Our tests showed that the presented method is robust and manages to produce calibration information even under a drastic change of viewpoint.

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تاریخ انتشار 2011