NDLI: Alignment of 3D Building Models with Satellite Images Using Extended Chamfer Matching

Content Provider	IEEE Xplore Digital Library
Author	Xi Zhang Agam, G. Xin Chen
Copyright Year	2014
Description	Author affiliation: Illinois Inst. of Technol., Chicago, IL, USA (Xi Zhang; Agam, G.) \|\| HERE.com, Chicago, IL, USA (Xin Chen)
Abstract	Large scale alignment of 3D building models and satellite images has many applications ranging from realistic 3D city modeling to urban planning. In this paper, we address this problem by matching the 2D projection of the building roofs and detected edges of satellite images. To better handle noise and occlusions in alignment, the proposed approach seeks an optimal matching location using an extended Chamfer matching algorithm. In addition the proposed approach attempt to optimize the alignment within large region using a global constraint. We show that the proposed approach can estimate the alignment of matching parts and produce robust result under occlusion. We test the proposed algorithm on two different datasets that covers the downtown areas of San Francisco and Chicago. The results show that the proposed algorithm significantly improves the registration accuracy while maintaining consistent performance.
Sponsorship	IEEE Comput. Soc.
Starting Page	746
Ending Page	753
File Size	2732860
Page Count	8
File Format	PDF
ISBN	9781479943081
ISSN	21607516
DOI	10.1109/CVPRW.2014.115
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Three-dimensional displays Satellites Image edge detection Buildings Vectors Equations
Content Type	Text
Resource Type	Article

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