Name
Abstract | ||
|---|---|---|
In this paper model-based reconstruction methods are applied to thedetailed reconstruction of buildings from close-range images. The3D points obtained through image matching are segmented into acoarse polyhedral model with a robust regression algorithm, thenthe geometry of this model is refined with predefined shapetemplates in order to automatically recover a CAD-like model of thebuilding surface. Reprojection of the 3D shape templates is used tooptimally fit their parameters to the image information.Throughoutthe paper the investigated methods are demonstrated on real datasets. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/HLK.2003.1240861 | HLK |
Keywords | Field | DocType |
building reconstruction,predefined shapetemplates,acoarse polyhedral model,image matching,the3d point,thedetailed reconstruction,paper model-based reconstruction method,close-range image,image information,cad-like model,throughoutthe paper,model-based method,robust regression,polyhedral model,building,image segmentation,image reconstruction,feature extraction | Iterative reconstruction,Computer vision,Feature detection (computer vision),Pattern recognition,Image texture,Image segmentation,Robust regression,Feature extraction,Artificial intelligence,Template,Polytope model,Mathematics | Conference |
ISBN | Citations | PageRank |
0-7695-2049-9 | 24 | 1.58 |
References | Authors | |
13 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Konrad Schindler | 1 | 2860 | 133.41 |
| Joachim Bauer | 2 | 41 | 2.40 |