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https://scholarbank.nus.edu.sg/handle/10635/16629
Title: | Automatic registration of color images to 3D geometry of indoor environments | Authors: | LI YUNZHEN | Keywords: | Image-to-geometry registration, 2D-to-3D registration, range scanning, multiview geometry, SIFT, image blending. | Issue Date: | 9-Feb-2009 | Citation: | LI YUNZHEN (2009-02-09). Automatic registration of color images to 3D geometry of indoor environments. ScholarBank@NUS Repository. | Abstract: | In this thesis, we present an approach to automatically register a large set ofcolor images to a 3D geometric model. The problem arises from the modelingof real-world environments, where surface geometry is acquired using range scannerswhereas the color information is separately acquired using untracked andcalibrated cameras. Our approach constructs a sparse 3D model from the colorimages using a multiview geometry technique. The sparse model is then approximatelyaligned with the detailed model. We project special light patterns onto thescene surfaces to increase the robustness of the multiview-geometry reconstruction.Planes in the detailed model are exploited to re ne the registration. Finally, theregistered color images are mapped to the detailed model using weighted blending,with careful consideration of occlusion. | URI: | http://scholarbank.nus.edu.sg/handle/10635/16629 |
Appears in Collections: | Master's Theses (Open) |
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HT060386E_Master_Thesis.pdf | 5.84 MB | Adobe PDF | OPEN | None | View/Download |
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