Multi-image matching using multi-scale oriented patches

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn I, Issue , 2005, Pages 510-517

  Brown, Matthew ^a   Szeliski, Richard ^b   Winder, Simon ^b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; ALGORITHMS; WAVELET TRANSFORMS;

BLURRED LOCAL GRADIENT; MULTI-IMAGE MATCHING; MULTI-SCALE ORIENTED PATCHES;

IMAGE PROCESSING;

EID: 24644498592     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.235     Document Type: Conference Paper

References (16)

1. W. Förstner. A feature-based correspondence algorithm for image matching. Int.l Arch. Photogrammetry & Remote Sensing. 26(3): 150-166, 1986.
2. C. Harris. Geometry from visual motion. In A. Blake and A. Yuille, editors. Active Vision, pages 263-284. MIT Press. 1992.
3. B. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In Proceeding a of the 7th International Joint Conference on Artificial Intelligence, pages 674-679, 1981.
4. J. Bergen. P. Anandan, K. Hanna, and R. Hingorani. Hierachical model-based motion estimation. In Proceedings of the 2nd European Conference on Computer Vision (ECCV92), pages 237-252. Springer-Verlag, May 1992.
5. C. Schmid and R. Mohr. Local grayvalue invariants for image retrieval. IEEE Transaction;s on Pattern Analysis and Machine Intelligence, 19(5):530-535, May 1997.
6. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
7. A. Baumberg. Reliable feature matching across widely separated views. In Proceedings of the Interational Conference on Computer Vision and Pattern Recognition (CVPR00), pages 774-781, 2000.
8. T. Tuytelaars and L. Van Gool. Wide baseline stereo matching based on local, affinely invariant regions. In Proceedings of the 11th British Machine Vision Conference (BMVC00), pages 412-422, Bristol, UK, 2000.
9. M. Brown and D. Lowe. Invariant features from interest point groups. In Proceedings of the 13th British Machine Vision Conference (BMVC02), pages 253-262, Cardiff, 2002.
10. J. Matas, O. Chum, M. Urban, and T. Pajdla. Robust wide baseline stereo from maximally stable extremal regions. In Proceedings of the 13th British Machine Vision Conference (BMVC02), 2002.
11. G. Carneiro and A. Jepson. Multi-scale local phase-based features. In Proceedings of the Intentional Conference on Computer Vision and Pattern Recognition (CVPR03), 2003.
12. C. Schmid, R. Mohr, and C. Bauckhage. Lvaluation of interest point detectors. International Journal of Computer Vision, 37(2): 151-172, June 2000.
13. K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. In Proceedings of the Interational Conference on Computer Vision and Pattern Recognition (CVPR03), 2003.
14. F. Schaffalitzky and A. Zisserman. Multi-view matching for unordered image sets, or "How do I organise my holiday snaps?". In Proceedings of the 7th European Conference on Computer Vision (ECCV02), pages 414-431, 2002.
15. M. Brown and D. Lowe. Recognising panoramas. In Proceedings of the 9th International Conference on Computer Vision (ICCV03), volume 2, pages 1218-1225, Nice, October 2003.
16. Patrice Simard, Yann LeCun, John S. Denker, and Bernard Victorri. Transformation invariance in pattern recognition-tangent distance and tangent propagation. In Neural Networks: Tricks of the Trade, pages 239-27, 1996.