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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
3D model search and pose estimation from single images using VIP features
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
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
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, pp.1-8, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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