DocumentCode
2720606
Title
Automatic alignment of 3D reconstructions using a Digital Surface Model
Author
Wendel, Andreas ; Irschara, Arnold ; Bischof, Horst
Author_Institution
Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria
fYear
2011
fDate
20-25 June 2011
Firstpage
29
Lastpage
36
Abstract
We present a novel technique for the automatic alignment of Structure from Motion (SfM) models, acquired at ground level or by micro aerial vehicles, to an overhead Digital Surface Model (DSM) using GPS information. An additional refinement step based on the correlation of the DSM height map with the model height map corrects for the GPS localization uncertainties and results in precisely aligned models. Our approach successfully handles cases where previous methods had problems, including objects on the ground, unoccupied space, and models covering a small area. We conclude our work by presenting several applications of our approach, namely the fusion of detailed SfM model information into the original DSM, season-invariant matching using aligned models, and alignment for providing context in visualization.
Keywords
Global Positioning System; correlation methods; image motion analysis; image reconstruction; solid modelling; terrain mapping; GPS localization uncertainties; automatic 3D reconstruction alignment; digital surface model; microaerial vehicles; season-invariant matching; structure from motion models; Computational modeling; Context modeling; Global Positioning System; Image reconstruction; Solid modeling; Three dimensional displays; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on
Conference_Location
Colorado Springs, CO
ISSN
2160-7508
Print_ISBN
978-1-4577-0529-8
Type
conf
DOI
10.1109/CVPRW.2011.5981717
Filename
5981717
Link To Document