Consistent Line Clusters for Building Recognition in CBIR
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Object Recognition with Informative Features and Linear Classification
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Localization Based on Building Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
A Mobile Vision System for Urban Detection with Informative Local Descriptors
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Toward Category-Level Object Recognition (Lecture Notes in Computer Science)
Toward Category-Level Object Recognition (Lecture Notes in Computer Science)
Image Based Localization in Urban Environments
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Learning to Locate Informative Features for Visual Identification
International Journal of Computer Vision
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
HPAT indexing for fast object/scene recognition based on local appearance
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Searching the web with mobile images for location recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Building detection from mobile imagery using informative SIFT descriptors
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Local feature-based multi-object recognition scheme for surveillance
Engineering Applications of Artificial Intelligence
| Hi-index | 0.00 |
In the past few years, several research works have addressed the problems posed by vision-assisted navigation systems. Basically, these systems allow a tourists navigating in an urban environment to take the photograph of a scene and submit it to the navigation system that will recognize what monument is represented in the photograph. However, solutions proposed so far focus on the recognition of approximately planar structures (e.g. building facades) and are inadequate to support the recognition task if the object of interest has a generic 3D structure such as a statue. In this paper we present a model to support the recognition of generic monuments that is based on the information-theoretic notion of mutual information to quantify the saliency of invariant local descriptors. Results are demonstrated on a real-database also in comparison with the baseline method that performs matching without any measure of saliency.