ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-2-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 9–13, 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-9-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 9–13, 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-9-2020

  03 Aug 2020

03 Aug 2020

AN UNSUPERVISED REGISTRATION OF 3D POINT CLOUDS TO 2D CAD MODEL: A CASE STUDY OF FLOOR PLAN

A. Alizadeh Naeini1, A. Ahmad1, M. M. Sheikholeslami2, P. Claudio1, and G. Sohn1 A. Alizadeh Naeini et al.
  • 1Earth and Space Science and Engineering at York University, 4700 Keele St, Toronto, ON M3J 1P3, Canada
  • 2Department of civil engineering and transportation, University of Isfahan, Iran

Keywords: unsupervised registration, floor plan, affine transformation, 3D point clouds, 2D CAD models

Abstract. Thanks to the proliferation of commodity 3D devices such as HoloLens, one can have easy access to the 3D model of indoor building objects. However, this model does not match 2D available computer-aided design (CAD) models as the as-built model. To address this problem, in this study, a 3-step registration method is proposed. First, binary images, including walls and background, are generated for the 3D point cloud (PC) and the 2D CAD model. Then, 2D-to-2D corresponding pixels (CPs) are extracted based on the intersection of walls in each binary image of PC (BIPC) and binary CAD (BCAD) model. Since the 3D PC space coordinates (XYZ) of all BIPC's pixels are known, BIPC part of the 2D-to-2D CPs can be considered 3D. Lastly, the parameters of the 8-parameter affine are estimated using the 2D-to-3D CPs, which are pixel coordinates in BCAD model as well as their correspondences in the 3D PC space. Experimental results indicate the efficiency of our proposed method compared to manual registration.