Task specific local region matching

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2007, Pages

  Babenko, Boris ^a   Dollár, Piotr ^a   Belongie, Serge ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BOOLEAN FUNCTIONS; CLASSIFICATION (OF INFORMATION); COMPUTER NETWORKS; COMPUTER VISION; CONTROL THEORY; FACE RECOGNITION; IMAGE ENHANCEMENT; IMAGE PROCESSING; LEARNING ALGORITHMS; LEARNING SYSTEMS; VECTORS;

LOCAL REGIONS;

MATHEMATICAL TRANSFORMATIONS;

EID: 50649114604     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4408848     Document Type: Conference Paper

References (35)

1. http://www.cs.ubc.ca/ lowe/keypoints/.
2. http://www.robots.ox.ac.uk/ vgg/research/affine/.
3. Y. Abramson and Y. Freund. SEmi-automatic VIsual LEarning (SEVILLE): Tutorial on active learning for visual object recognition. CVPR, 2005.
4. S. Belongie, J. Malik, and J. Puzicha. Shape context: A new descriptor for shape matching. In NIPS, pages 831-837, 2000.
5. A. Berg and J. Malik. Geometric blur and template matching. In CVPR, pages I:607-614, 2001.
6. M. Brown, R. Szeliski, and S. Winder. Multi-image matching using multi-scale oriented patches. In CVPR, pages I: 510-517, 2005.
7. R. Cappelli. SFinGe: an Approach to Synthetic Fingerprint Generation. In International Workshop on Biometric Technologies, pages 147-154, June 2004.
8. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, pages I: 886-893, 2005.
9. P. Dollár, Z. Tu, and S. Belongie. Supervised learning of edges and object boundaries. In CVPR, pages II: 1964-1971, 2006.
10. P. Dollár, Z. Tu, H. Tao, and S. Belongie. Feature mining for image classification. In CVPR, June 2007.
11. G. Dorko and C. Schmid. Maximally stable local description for scale selection. In ECCV, pages IV: 504-516, 2006.
12. R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. In CVPR, pages II: 264-271, 2003.
13. M. Fischler and R. Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6):381-395, 1981.
14. Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139, 1997.
15. D. Gao and N. Vasconcelos. Integrated learning of saliency, complex features, and object detectors from cluttered scenes. In CVPR, pages II: 282-287, 2005.
16. A. Georghiades, P. Belhumeur, and D. Kriegman. From few to many: Illumination cone models for face recognition under variable lighting and pose. PAMI, 23(6):643-660, 2001.
17. R. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, June 2000.
18. M. Jones and P. Viola. Face recognition using boosted local features. MERL Technical Report TR2003-025, May 2003.
19. Y. Ke and R. Sukthankar. PCA-SIFT: a more distinctive representation for local image descriptors. In CVPR, pages II: 506-513, 2004.
20. W. Kienzle, F. Wichmann, B. Schölkopf, and M. Franz. Learning an interest operator from human eye movements. In CVPRW, page 24, 2006.
21. V. Lepetit and P. Fua. Keypoint recognition using randomized trees. PAMI, 28(9):1465-1479, September 2006.
22. D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, November 2004.
23. S. Mahamud and M. Hebert. The optimal distance measure for object detection. In CVPR, pages I: 248-255, 2003.
24. K. Mikolajczyk, B. Leibe, and B. Schiele. Multiple object class detection with a generative model. In CVPR, pages I: 26-36, 2006.
25. K. Mikolajczyk and C. Schmid. Scale and affine invariant interest point detectors. IJCV, 60(1):63-86, October 2004.
26. K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. PAMI, 27(10):1615-1630, October 2005.
27. F. Porikli. Integral histogram: A fast way to extract histograms in cartesian spaces. In CVPR, pages I: 829-836, 2005.
28. F. Schaffalitzky and A. Zisserman. Multi-view matching for unordered image sets, or 'How do I organize my holiday snaps?'. In ECCV, page I: 414, 2002.
29. C. Schmid and R. Mohr. Local grayvalue invariants for image retrieval. PAMI, 19(5):530-534, May 1997.
30. G. Shakhnarovich. Learning task-specific similarity. PhD Thesis, MIT, 2006.
31. T. Tuytelaars and L. Van Gool. Matching widely separated views based on affine invariant regions. IJCV, 59(1):61-85, August 2004.
32. P. Viola and M. Jones. Robust real-time face detection. IJCV, 57(2):137-154, May 2004.
33. S. Winder and M. Brown. Learning local image descriptors. pages 1-8, 2007.
34. S. Zhou, B. Georgescu, D. Comaniciu, and J. Shao. Boostmotion: Boosting a discriminative similarity function for motion estimation. In CVPR, pages II: 1761-1768, 2006.
35. Q. Zhu, M. Yeh, K. Cheng, and S. Avidan. Fast human detection using a cascade of histograms of oriented gradients. In CVPR, pages II: 1491-1498, 2006.