A stable graph-based representation for object recognition through high-order matching

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2012, Pages 3341-3344

  Albarelli, A ^a   Bergamasco, F ^a   Rossi, L ^a   Vascon, S ^a   Torsello, A ^a  

^a CA' FOSCARI UNIVERSITY OF VENICE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CORNER POINT; CORRESPONDENCE PROBLEMS; DESCRIPTORS; DISCRIMINATIVE POWER; EUCLIDEAN; FEATURE DETECTION ALGORITHM; GRAPH-BASED REPRESENTATIONS; HIGH-ORDER MATCHING; IMAGE TRANSFORMATIONS; OBJECT APPEARANCE; OVERALL EFFECTIVENESS; POINT PATTERN MATCHING; RELATIONAL MODEL; RELATIONAL STRUCTURES;

BINARY DECISION DIAGRAMS; PATTERN MATCHING; SPATIAL DISTRIBUTION;

OBJECT RECOGNITION;

EID: 84874557230     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. A. Albarelli, S. R. Bulò, A. Torsello, and M. Pelillo. Matching as a non-cooperative game. In ICCV: IEEE Intl. Conf. on Comp. Vis. IEEE Comp. Society, 2009.
2. A. Albarelli, E. Rodolà, and A. Torsello. Imposing Semi-Local geometric constraints for accurate correspondences selection in structure from motion: A Game-Theoretic perspective. International Journal of Computer Vision, pages 1-18, Mar. 2011.
3. B. N. Boots. Delaunay triangles: An alternative approach to point pattern analysis. In Proc. of the Ass. of American Geographers, volume 6, pages 26-29, 1974.
4. T. S. Caetano, T. Caelli, D. Schuurmans, and D. A. C. Barone. Graphical models and point pattern matching. IEEE Trans. Pattern Anal. Mach. Intell., 28(10):1646-1663, Oct. 2006.
5. S. Ekvall, D. Kragic, and F. Hoffmann. Object recognition and pose estimation using color cooccurrence histograms and geometric modeling. Image Vision Comput., 23(11):943-955, Oct. 2005.
6. J.-M. Geusebroek, G. J. Burghouts, and A. W. M. Smeulders. The amsterdam library of object images. Int. J. Comput. Vision, 61(1):103-112, 2005.
7. C. Harris and M. Stephens. A combined corner and edge detector. In Proc. Fourth Alvey Vision Conference, pages 147-151, 1988.
8. T. T. Herbert Bay and L. V. Gool. SURF: Speeded up robust features. In 9th European Conference on Computer Vision, volume 3951, pages 404-417, 2006.
9. G. Kordelas and P. Daras. Robust sift-based feature matching using kendall's rank correlation measure. In IEEE int. conf. on Image processing, ICIP'09, pages 325-328, Piscataway, NJ, USA, 2009. IEEE Press.
10. D. Lowe. Distinctive image features from scaleinvariant keypoints. In International Journal of Computer Vision, volume 20, pages 91-110, 2003.
11. D. Marr and E. Hildreth. Theory of edge detection. Royal Soc. of London Proc. Series, 207:187-217, 1980.
12. J. Matas, O. Chum, M. Urban, and T. Pajdla. Robust wide-baseline stereo from maximally stable extremal regions. Image and Vision Comp., 22(10):761-767, 2004.
13. J. Shotton, A. Blake, and R. Cipolla. Multiscale categorical object recognition using contour fragments. IEEE Trans. Pattern Anal. Mach. Intell., 30(7):1270-1281, July 2008.
14. S. Taylor, E. Rosten, and T. Drummond. Robust feature matching in 2.3s. In CVPR: IEEE Computer Society Conf. on Comput.Vis. and Pat. Rec., pages 15-22, 2009.
15. J. Weibull. Evolutionary Game Theory. MIT, 1995.
16. K.-J. Yoon and M.-G. Shin. Reducing ambiguity in object recognition using relational information. In Asian conf. on Computer vision, ACCV'10, pages 293-306, Berlin, Heidelberg, 2011. Springer-Verlag.