Please use this identifier to cite or link to this item: http://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
Source: 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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