Approximate nearest neighbor queries in fixed dimensions
SODA '93 Proceedings of the fourth annual ACM-SIAM Symposium on Discrete algorithms
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Epitomic analysis of appearance and shape
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Image Based Localization in Urban Environments
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Proceedings of the 18th international conference on World wide web
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Large scale visual geo-localization of images in mountainous terrain
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Visibility probability structure from sfm datasets and applications
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
A memory efficient discriminative approach for location aided recognition
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Towards exhaustive pairwise matching in large image collections
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Towards feature-based situation assessment for airport apron video surveillance
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
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
A Self-adaptive ASIFT-SH method
Advanced Engineering Informatics
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
Model-based pose estimation for rigid objects
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Efficient keyframe-based real-time camera tracking
Computer Vision and Image Understanding
Generative Methods for Long-Term Place Recognition in Dynamic Scenes
International Journal of Computer Vision
Hi-index | 0.00 |
We present a fast, simple location recognition and image localization method that leverages feature correspondence and geometry estimated from large Internet photo collections. Such recovered structure contains a significant amount of useful information about images and image features that is not available when considering images in isolation. For instance, we can predict which views will be the most common, which feature points in a scene are most reliable, and which features in the scene tend to co-occur in the same image. Based on this information, we devise an adaptive, prioritized algorithm for matching a representative set of SIFT features covering a large scene to a query image for efficient localization. Our approach is based on considering features in the scene database, and matching them to query image features, as opposed to more conventional methods that match image features to visual words or database features. We find this approach results in improved performance, due to the richer knowledge of characteristics of the database features compared to query image features. We present experiments on two large city-scale photo collections, showing that our algorithm compares favorably to image retrieval-style approaches to location recognition.