Please use this identifier to cite or link to this item: https://doi.org/10.1145/1629739.1629742
Title: Automatic registration of color images to 3D geometry
Authors: Li, Y.
Low, K.-L. 
Keywords: I.4.1 [image processing and computer vision]: Digitization and image capture - Imaging geometry, scanning
I.4.8 [image processing and computer vision]: Scene analysis - Range data, sensor fusion
Issue Date: 2009
Source: Li, Y.,Low, K.-L. (2009). Automatic registration of color images to 3D geometry. Proceedings of Computer Graphics International Conference, CGI : 21-28. ScholarBank@NUS Repository. https://doi.org/10.1145/1629739.1629742
Abstract: We present an approach to automatically register a large set of color images to a 3D geometric model. The problem arises from the modeling of real-world environments, where surface geometry is acquired using range scanners whereas the color information is separately acquired using untracked and uncalibrated cameras. Our approach constructs a sparse 3D model from the color images using a multiview geometry technique.We project special light patterns onto the scene surfaces to increase the robustness of the multiview geometry reconstruction. The sparse model is then approximately aligned with the detailed model. Planes found in the detailed model are exploited to refine the registration. Finally, the registered color images are mapped to the detailed model using weighted blending, with careful consideration of occlusion and the preservation of image details. Copyright © 2009 by the Association for Computing Machinery, Inc.
Source Title: Proceedings of Computer Graphics International Conference, CGI
URI: http://scholarbank.nus.edu.sg/handle/10635/41157
ISBN: 9781605586878
ISSN: 15301052
DOI: 10.1145/1629739.1629742
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