Proceedings of the 20th ACM international conference on Multimedia
Worldwide pose estimation using 3d point clouds
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Improving image-based localization by active correspondence search
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Visibility probability structure from sfm datasets and applications
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Towards fast image-based localization on a city-scale
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
Geometry directed browser for personal photographs
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Feature set reduction for image matching in large scale environments
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Model based full body human motion reconstruction from video data
Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications
Stable two view reconstruction using the six-point algorithm
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Robust and accurate mobile visual localization and its applications
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
Mapping a Network of Roads for an On-road Navigating Robot
Proceedings of Conference on Advances In Robotics
Orientation data correction with georeferenced mobile videos
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Where should I stand? Learning based human position recommendation for mobile photographing
Multimedia Tools and Applications
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Recently developed Structure from Motion (SfM) reconstruction approaches enable the creation of large scale 3D models of urban scenes. These compact scene representations can then be used for accurate image-based localization, creating the need for localization approaches that are able to efficiently handle such large amounts of data. An important bottleneck is the computation of 2D-to-3D correspondences required for pose estimation. Current stateof- the-art approaches use indirect matching techniques to accelerate this search. In this paper we demonstrate that direct 2D-to-3D matching methods have a considerable potential for improving registration performance. We derive a direct matching framework based on visual vocabulary quantization and a prioritized correspondence search. Through extensive experiments, we show that our framework efficiently handles large datasets and outperforms current state-of-the-art methods.