A model-based method for building reconstruction

Author

Schindler, Konrad ; Bauer, Joachim

Author_Institution

Comput. Graphics & Vision, Graz Univ. of Technol., Austria

fYear

2003

fDate

17-17 Oct. 2003

Firstpage

74

Lastpage

82

Abstract

Model-based reconstruction methods are applied to the detailed reconstruction of buildings from close-range images. The 3D points obtained through image matching are segmented into a coarse polyhedral model with a robust regression algorithm, then the geometry of this model is refined with predefined shape templates in order to automatically recover a CAD-like model of the building surface. Reprojection of the 3D shape templates is used to optimally fit their parameters to the image information. Throughout the paper the investigated methods are demonstrated on real datasets.

Keywords

architectural CAD; building; feature extraction; image matching; image reconstruction; image segmentation; surface fitting; 3D reprojection; 3D shape template reprojection; CAD-like model; building reconstruction; close-range images; coarse polyhedral model; image matching; image segmentation; model-based reconstruction; regression algorithm; Geometry; Image matching; Image reconstruction; Image segmentation; Reconstruction algorithms; Robustness; Shape; Solid modeling; Surface fitting; Surface reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Higher-Level Knowledge in 3D Modeling and Motion Analysis, 2003. HLK 2003. First IEEE International Workshop on

Conference_Location

Nice, France

Print_ISBN

0-7695-2049-9

Type

conf

DOI

10.1109/HLK.2003.1240861

Filename

1240861