#### DMCA

## PLANAR 3D MODELING OF BUILDING INTERIORS FROM POINT CLOUD DATA

Citations: | 12 - 1 self |

### Citations

3922 |
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
- Fischler, Bolles
- 1981
(Show Context)
Citation Context ...present in the data, should be contained in the subset remaining. 2.3.1. Planar model (1) We employ random sample consensus (RANSAC) to find the best fitted planar primitive in the least-square sense =-=[5]-=-. RANSAC randomly draws a set of three different points from the segmented region and computes a candidate planar primitive. A planar primitive consists of an oriented 3D plane and a set of inliers, w... |

249 |
On the shape of a set of points in the plane
- Edelsbrunner, Kirkpatrick, et al.
- 1983
(Show Context)
Citation Context ...alls, ceilings and floors, we first project all inliers on the corresponding oriented 3D plane. We then employ alpha-shapes to compute the vertices of the concave hull of the set of projected inliers =-=[6]-=-. Finally, we employ the split-and-merge algorithm to eliminate any redundant vertices, and determine the final vertices that approximate the spatial extent [7]. Fig. 4 shows the process to determine ... |

22 | Architectural modelling from sparsely scanned range data
- Chen, Chen
- 2008
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Citation Context ...to the scale of the scene. A number of methods for automatic planar 3D modeling of building interiors from point cloud data have been recently reported in the literature [1-2]. Although the method in =-=[1]-=- deals efficiently with architectural scenes comprising planar faces, it only produces a 3D model describing the exterior geometry of the building. In [2], the authors propose a method to model an arc... |

22 | Indoor localization and visualization using a human-operated backpack system - Liu, Carlberg, et al. - 2010 |

19 | Indoor localization algorithms for a human-operated backpack system
- Chen, Kua, et al.
(Show Context)
Citation Context ...ht and number of steps, we assume that the mobile acquisition system has a 2D pitch scanner capable of scanning the x-z or y-z plane, depending on whether the scanning path is on the x or y direction =-=[3]-=-. Using the pitch scanner data corresponding to the detected staircase ramp, we determine the beginning and end points of each riser and tread by fitting a model comprising two perpendicular lines, as... |

10 |
An Iterative Procedure for the Polygonal Approximation
- Ramer
(Show Context)
Citation Context ...ve hull of the set of projected inliers [6]. Finally, we employ the split-and-merge algorithm to eliminate any redundant vertices, and determine the final vertices that approximate the spatial extent =-=[7]-=-. Fig. 4 shows the process to determine the spatial extent of a sample polygonal wall. 2.3.2. Staircase model Our staircase model comprises six parameters as illustrated in Fig. 5. These six parameter... |

6 | Statistical reconstruction of indoor scenes
- Jenke, Huhle, et al.
- 2009
(Show Context)
Citation Context ... the literature [1-2]. Although the method in [1] deals efficiently with architectural scenes comprising planar faces, it only produces a 3D model describing the exterior geometry of the building. In =-=[2]-=-, the authors propose a method to model an architectural scene as a collection of cuboids, i.e., planar facets. The proposed method is robust to noisy and sparse data; however, it is restricted to mod... |