Keypoint descriptors for matching across multiple image modalities and non-linear intensity variations

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2007, Pages

  Kelman, Avi ^a   Sofka, Michal ^a   Stewart, Charles V ^a  

^a Rensselaer Polytechnic Institute

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERROR DETECTION; IMAGE REGISTRATION; LAPLACE EQUATION; NONLINEAR SYSTEMS;

IMAGE INTENSITY; IMAGE MODALITIES; NON-LINEAR INTENSITY VARIATIONS; ORIENTATION HISTOGRAMS;

PATTERN MATCHING;

EID: 34948853228     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383426     Document Type: Conference Paper

References (25)

1. S. Belongie, J. Malik, and J. Puzicha. Shape matching and object recognition using shape contexts. IEEE Trans. Pattern Anal. Machine lntell., 24(4):509-522, June 2002.
2. M. Brown and D. Lowe. Recognising panoramas. In Proc. ICCV, 2003.
3. M. Brown, R. Szeliski, and S. Winder. Multi-image matching using multi-scale oriented patches. In Proc. CVPR, volume 1, pages 510-517, 2005.
4. O. Chum and J. Matas. Geometric hashing with local affine frames. In Proc. CVPR, volume 1, pages 879-884, New York, NY, USA, 2006.
5. N. Dalai and B. Triggs. Histograms of oriented gradients for human detection. In Proc. CVPR, volume 2, pages 886-893, 2005.
6. A. Frome, D. Huber, R. Kolurri, T. Buelow, and J. Malik. Recognizing objects in range data using regional point descriptors. In Proc. Eigth ECCV, 2004.
7. C. Harris and M. Stephens. A combined corner and edge detector. In Proceedings of The Fourth Alvey Vision Conference, pages 147-151, Manchester, UK, 1988.
8. T. Hartkens, K. Rohr, and H. S. Stiehl. Evaluation of 3d operators for the detection of anatomical, point landmarks in mr andct images. Comput. Vis. Image Und., 86(2):118-136, May 2002.
9. T. Kadir and M. Brady. Saliency, scale and image description. Int. J. Comp. Vic., 45(2):83-105, 2001.
10. T. Kadir, A. Zisserman, and M. Brady. An affine invariant salient region detector. In Proc. Eigth ECCV, 2004.
11. D. G. Lowe. Distinctive image features from scale-invariant keypoints. Int. J. Comp. Vis., 60(2):91-110, November 2004.
12. J. Matas, O. Chum, M. Urban, and T. Pajdla. Robust wide-baseline stereo from maximally stable extremal regions. IVC, 22(10):761-767, Sept. 2004.
13. K. Mikolajczyk and C. Schmid. Scale and affine invariant interest point detectors. Int. J. Comp. Vis., 60(1):63-86, 2004.
14. K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. IEEE Trans. Pattern Anal. Machine lntell., 27(10):1615-1630, 2005.
15. K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas, F. Schaffalitzky, T. Kadir, and L. V. Gool. A comparison of affine region detectors. Int. J. Comp. Vis., 65(1-2):43-72, 2005.
16. P. Moreels and P. Perona. Evaluation of features detectors and descriptors based on 3d objects. In Proc. ICCV, volume 1, pages 800-807, 2005.
17. G. Mori, S. Belongie, and J. Malik. Efficient shape matching using shape contexts. IEEE Trans. Pattern Anal. Machine lnteil., 27(11):1832-1837, 2005.
18. G. Mori and J. Malik. Recognizing objects in adversarial clutter: breaking a visual captcha. In Proc. CVPR, volume 1, pages 134-141, 2003.
19. E. N. Mortensen, H. Deng, and L. Shapiro. A sift descriptor with global context. In Proc. CVPR, volume 1, pages 184-190, 2005.
20. F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. 3d object modeling and recognition using local affine-invariant image descriptors and multi-view spatial constraints. Int. J. Comp. Vis., 66(3):231-259, Mar. 2006.
21. C. Steger. Occlusion, clutter, and illumination invariant object recognition. Int. Arc. Photo. Remote Sensing, XXXIV, part 3A:345-350, 2002.
22. A. Thayananthan, B. Stenger, P. H. S. Torr, and R. Cipolla. Shape context and chamfer matching in cluttered scenes. In Proc. CVPR, volume 1, pages 127-133, 2003.
23. Visual Geometry Group. Affine covariant features, http://www.robots.ox. ac.uk/~vgg/research/affine/. Last accessed 14 March 2007.
24. Štěpán Obdržálek and J. Matas. Sub-linear indexing for large scale object recognition. In Proc. British Machine Vision Conf, pages 1-10, 2005.
25. G. Yang, C. V. Stewart, M. Sofka, and C.-L. Tsai. Alignment of challenging image pairs: Refinement and region growing starting from a single keypoint correspondence. IEEE Trans. Pattern Anal. Machine Intell., 2007. Accepted for publication.