High-dimensional feature matching: Employing the concept of meaningful nearest neighbors

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2007, Pages

  Omerčević, Dušan ^a   Drbohlav, Ondrej ^a   Leonardis, Aleš ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTER NETWORKS; COMPUTER VISION; IMAGE PROCESSING; MOTION COMPENSATION; PROGRAMMING THEORY;

NEAREST NEIGHBORS;

IMAGE MATCHING;

EID: 50649086537     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4408880     Document Type: Conference Paper

References (20)

1. A. Baumberg. Reliable feature matching across widely separated views. In CVPR, volume 1, pages 774-781, 2000.
2. M. J. Bayarri and J. Morales. Bayesian measures of surprise for outlier detection. Journal of Statistical Planning and Inference, 111(1-2):3-22, February 2003.
3. J. S. Beis and D. G. Lowe. Shape indexing using approximate nearest-neighbour search in high-dimensional spaces. In CVPR, pages 1000-1006, 1997.
4. C. Böhm, S. Berchtold, and D. A. Keim. Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. ACM Computing Surveys (CSUR), 33(3):322-373, September 2001.
5. M. Brown and D. G. Lowe. Automatic panoramic image stitching using invariant features. IJCV, 74(1):59-73, August 2007.
6. V. Ferrari, T. Tuytelaars, and L. Van Gool. Simultaneous object recognition and segmentation from single or multiple model views. IJCV, 67(2):159-188, April 2006.
7. K. Grauman and T. Darrell. Approximate correspondences in high dimensions. In NIPS 19, pages 505-512, 2007.
8. P. Indyk. Nearest neighbors in high-dimensional spaces. In J. E. Goodman and J. ORourke, editors, Handbook of Discrete and Computational Geometry, chapter 39. CRC Press, 2nd edition, 2004.
9. P. Indyk and R. Motwani. Approximate nearest neighbors: towards removing the curse of dimensionality. In Proceedings of the 30th Symposium on Theory of Computing, pages 604-613, 1998.
10. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, November 2004.
11. J. Matas, O. Chum, M. Urban, and T. Pajdla. Robust wide-baseline stereo from maximally stable extremal regions. Image and Vision Computing, 22(10):761-767, September 2004.
12. K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. IEEE PAMI, 27(10):1615-1630, October 2005.
13. S. A. Nene and S. K. Nayar. A simple algorithm for nearest neighbor search in high dimensions. IEEE PAMI, 19(9):989-1003, September 1997.
14. D. Nistér and H. Stewénius. Scalable recognition with a vocabulary tree. In CVPR, volume 2, pages 2161-2168, 2006.
15. B. Olshausen and D. Field. Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision Research, 37(23):3311-3325, December 1997.
16. C. Schmid and R. Mohr. Local grayvalue invariants for image retrieval. IEEE PAMI, 19(5):530-535, May 1997.
17. J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In ICCV, volume 2, pages 1470-1477, 2003.
18. H. Stewénius and D. Nistér. Object recognition benchmark. http://vis.uky.edu/~stewe/ukbench/.
19. T. Tuytelaars and L. Van Gool. Matching widely separated views based on affine invariant regions. IJCV, 59(1):61-85, August 2004.
20. W. Zhang and J. Košecká. Image based localization in urban environments. In International Symposium on 3D Data Processing, Visualization and Transmission, pages 33-40, 2006.