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Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-8
Changchang Wu , Department of Computer Science, UNC Chapel Hill, USA
Friedrich Fraundorfer , Department of Computer Science, ETH Zurich, Switzerland
Jan-Michael Frahm , Department of Computer Science, UNC Chapel Hill, USA
Marc Pollefeys , Department of Computer Science, ETH Zurich, Switzerland
ABSTRACT
This paper describes a method to efficiently search for 3D models in a city-scale database and to compute the camera poses from single query images. The proposed method matches SIFT features (from a single image) to viewpoint invariant patches (VIP) from a 3D model by warping the SIFT features approximately into the orthographic frame of the VIP features. This significantly increases the number of feature correspondences which results in a reliable and robust pose estimation. We also present a 3D model search tool that uses a visual word based search scheme to efficiently retrieve 3D models from large databases using individual query images. Together the 3D model search and the pose estimation represent a highly scalable and efficient city-scale localization system. The performance of the 3D model search and pose estimation is demonstrated on urban image data.
CITATION
Changchang Wu, Friedrich Fraundorfer, Jan-Michael Frahm, Marc Pollefeys, "3D model search and pose estimation from single images using VIP features", CVPRW, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-8, doi:10.1109/CVPRW.2008.4563037
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