Local intensity order pattern for feature description

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 603-610

  Wang, Zhenhua ^a   Fan, Bin ^a   Wu, Fuchao ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DESCRIPTORS; FEATURE DESCRIPTION; ILLUMINATION CHANGES; IMAGE BLUR; IMAGE PAIRS; IMAGE ROTATION; INTENSITY CHANGE; ORDINAL INFORMATION; PHOTOMETRIC TRANSFORMATION;

ELECTRICAL ENGINEERING;

IMAGE PROCESSING;

EID: 84863054049     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126294     Document Type: Conference Paper

References (25)

1. http://www.robots.ox.ac.uk/vgg/research/affine/.
2. S. Belongie, J. Malik, and J. Puzicha. Shape matching and object recognition using shape contexts. PAMI, 24:509-522, 2002.
3. M. Brown and D. G. Lowe. Automatic panoramic image stitching using invariant features. IJCV, 74:59-73, 2007.
4. B. Fan, F. C. Wu, and Z. Y. Hu. Aggregating gradient distributions into intensity orders: A novel local image descriptor. In Proc. CVPR, pages 2377-2384, 2011.
5. W. T. Freeman and E. H. Adelson. The design and use of steerable filters. PAMI, 13:891-906, 1991.
6. L. J. V. Gool, T. Moons, and D. Ungureanu. Affine/photometric invariants for planar intensity patterns. In Proc. ECCV, pages 642-651, 1996.
7. B. Goswami, C. H. Chan, J. Kittler, and B. Christmas. Local ordinal contrast pattern histograms for spatiotemporal, lipbased speaker authentication. In Biometrics: Theory Applications and Systems (BTAS), pages 1-6, 2010.
8. R. Gupta and A. Mittal. Smd: A locally stable monotonic change invariant feature descriptor. In Proc. ECCV, pages 265-277, 2008.
9. R. Gupta, H. Patil, and A. Mittal. Robust order-based methods for feature description. In Proc. CVPR, pages 334-341, 2010.
10. C. Harris and M. Stephens. A combined corner and edge detection. In Proc. Alvey Vision Conference, pages 147-151, 1988.
11. M. Heikkilä, M. Pietikäinen, and C. Schmid. Description of interest regions with local binary patterns. Pattern Recognition, 42:425-436, 2009.
12. S. Lazebnik, C. Schmid, and J. Ponce. A sparse texture representation using local affine regions. PAMI, 27(8):1265-1278, 2005.
13. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60:91-110, 2004.
14. J. Matas, O. Chum, U. Martin, and T. Pajdla. Robust wide baseline stereo from maximally stable extremal regions. In Proc. BMVC, volume 1, pages 384-393, 2002.
15. K. Mikolajczyk and C. Schmid. Scale & affine invariant interest point detectors. IJCV, 60:63-86, 2004.
16. K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. PAMI, 27(10):1615-1630, 2005.
17. K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas, F. Schaffalitzky, T. Kadir, and L. V. Gool. A comparison of affine region detectors. IJCV, 65:43-72, 2005.
18. D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In Proc. CVPR, volume 2, pages 2161-2168, 2006.
19. T. Ojala, M. Pietikainen, and T. Maenpaa. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. PAMI, 24:971-987, 2002.
20. F. Schaffalitzky and A. Zisserman. Multi-view matching for unordered image sets, or "how do i organize my holiday snaps?". In Proc. ECCV, pages 414-431, 2002.
21. C. Schmid and R. Mohr. Local grayvalue invariants for image retrieval. PAMI, 19:530-535, 1997.
22. F. Tang, S. H. Lim, N. Chang, and H. Tao. A novel feature descriptor invariant to complex brightness changes. In Proc. CVPR, pages 2631-2638, 2009.
23. E. Tola, V. Lepetit, and P. Fua. Daisy: An efficient dense descriptor applied to wide-baseline stereo. PAMI, 32:815-830, 2010.
24. T. Tuytelaars and L. Van Gool. Matching widely separated views based on affine invariant regions. IJCV, 59:61-85, 2004.
25. S. Winder and M. Brown. Learning local image descriptors. In Proc. CVPR, pages 1-8, 2007.