Context-based adaptive filtering of interest points in image retrieval

ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

Volumn , Issue , 2009, Pages 529-534

  Nguyen, Giang P ^a   Andersen, Hans Jørgen ^a  

^a AALBORG UNIVERSITY   (Denmark)

Author keywords

Image retrieval; Interest point detection

Indexed keywords

COMPUTER VISION APPLICATIONS; CONTEXT-BASED; FEATURE SPACE; INTEREST POINT DETECTION; INTEREST POINTS; LOCAL FEATURE; PROCESSING SPEED; REDUCTION RATE; RETRIEVAL PERFORMANCE; RUNTIMES;

ADAPTIVE FILTERING; ADAPTIVE FILTERS; COMPUTER VISION; IMAGE RETRIEVAL; INTELLIGENT SYSTEMS;

COMPUTER APPLICATIONS;

EID: 77949499977     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2009.25     Document Type: Conference Paper

References (13)

1. M. Brown, R. Szeliski, and S. Winder. Multi-image matching using multi-scale oriented patches. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, volume 1, pages 510-517, 2005.
2. R. Distasi, M. Nappi, and S. Vitulano. Image compression by B-Tree triangular coding. IEEE Transactions on Communications, 45(9):1095-1100, 1997.
3. G. Fritz, C. Seifert, and L. Paletta. Urban object recognition from informative local features. In Proceedings of the IEEE International Conference on Robotics and Automation, pages 132-138, 2005.
4. C. Harris and M. Stephens. A combined corner and edge detector. Proceedings of the Alvey Vision Conference, pages 147-151, 1988.
5. Y. Ke and R. Sukthankar. Pca-sift: A more distinctive representation for local image descriptors. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, volume 2, pages 506-513, 2004.
6. F. Li and J.Kosecka. Probabilistic location recognition using reduced feature set. In Proceedings of the IEEE International Conference on Robotics and Automation, pages 3405-3410, 2006.
7. D.G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
8. K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. IEEE Transactions on Pattern Analysis & Machine Intelligence, 27(10):1615-1630, 2005.
9. G.P. Nguyen and H.J. Andersen. Uniqueness filtering for local feature descriptors in urban building recognition. In Proceedings of the International Conference on Image and Signal Processing, pages 85-93, 2008.
10. G.P. Nguyen and H.J. Andersen. Urban building recognition during significant temporal variations. In Proceedings of the IEEE Workshop on Applications of Computer Vision, pages 1-6, 2008.
11. D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, volume 2, pages 2161-2168, 2006.
12. E. Rosten and T. Drummond. Fusing points and lines for high performance tracking. In Proceedings of the International Conference on Computer Vision, pages 1508-1511, 2005.
13. T. Tuytelaars and K. Mikolajczyk. Local invariant feature detectors. Foundations and Trends in Computer Graphics and Vision, 3(3):177-280, 2008.