In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
An optimal algorithm for approximate nearest neighbor searching fixed dimensions
Journal of the ACM (JACM)
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
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
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Inverted files for text search engines
ACM Computing Surveys (CSUR)
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
World-scale mining of objects and events from community photo collections
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Modeling the World from Internet Photo Collections
International Journal of Computer Vision
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Toward Fully Automatic Geo-Location and Geo-Orientation of Static Outdoor Cameras
WACV '08 Proceedings of the 2008 IEEE Workshop on Applications of Computer Vision
Improving Bag-of-Features for Large Scale Image Search
International Journal of Computer Vision
Avoiding confusing features in place recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
BRIEF: binary robust independent elementary features
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Efficient relative camera orientation detection for mobile applications
Proceedings of the 1st international workshop on Mobile location-based service
Global contrast based salient region detection
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Total recall II: Query expansion revisited
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Three things everyone should know to improve object retrieval
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Robust place recognition by avoiding confusing features and fast geometric re-ranking
CVM'12 Proceedings of the First international conference on Computational Visual Media
| Hi-index | 0.00 |
LBS-based applications have become trending on mobile phones. It is useful and necessary to locate users location precisely from a digital image. However, gap exists between the query and the data set in scale, viewpoint, and lighting, or the noise existed in the foreground or background, etc. It is challenging for a location recognition or retrieval system to carry out real-time service. To address this problem, we design a place recognition system and a new building data set with ground truth labels. The algorithm not only significantly improves the efficiency, but also gives satisfied accuracy. The main contributions of our work can be concluded by three points: (1)聽By adding a fast geometric image matching as a filter procedure before applying Random Sample Consensus (RANSAC), we substantially improve the efficiency of spatial verification and recognition accuracy. (2)聽We apply a camera orientation algorithm to predict a probable retrieval failure. Salient region detection is applied to remove the confusing features in combination with term frequency---inverse document frequency (tf---idf) recovery. This significantly reduces the influence of noise. (3)聽We establish a new building data set of Tsinghua University to verify retrieval results. Experiments are conducted on several data sets and all achieve state-of-the-art results.