Affine-invariant SIFT descriptor with global context

Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010

Volumn 1, Issue , 2010, Pages 68-71

  Cao, Bei ^a   Ma, CaiWen ^a   Liu, ZhenTao ^b  

^a XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

^b XI AN UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Affine invariance; Global context; Image matching; Local ambiguity

Indexed keywords

AFFINE INVARIANCE; AXIS ORIENTATION; DESCRIPTORS; GLOBAL CONTEXT; LOCAL AMBIGUITY; LOCAL DESCRIPTORS; MATCHING METHODS; QUERY AND SEARCH; SHAPE INFORMATION; SIFT FEATURE;

SIGNAL PROCESSING;

IMAGE MATCHING;

EID: 78650526788     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2010.5647071     Document Type: Conference Paper

References (16)

1. M. Brown and D. Lowe. "Recognizing panoramas". Proceedings of the 9th International Conference on Computer Vision, Nice, France, 2003, pp. 1218-1227.
2. M. Lew, N. Sebe, C. Djeraba and R. Jain. "Content-based multimedia information retrieval: State of the art and challenges. ACM Transactions on Multimedia Computing", Communications and Applications, 2006, 2(1), pp. 1-19.
3. D. Lowe. "Object recognition from local scale-invariant features". Proceedings of the 7th International Conference on Computer Vision, Kerkyra, Greece, 1999, pp. 1150-1157.
4. H. Zhou, Y. Yuan and C. Shi. "Object tracking using SIFT features and mean shift". Computer vision and image understanding, 2009, 113(3), pp.345-352.
5. K. Mikolajczyk and C. Schmid, "An affine invariant interest point detector," Proc. ECCV,1:128-142, 2002.
6. K. Mikolajczyk and C. Schmid, "Scale and Affine Invariant Interest Point Detectors," International Journal of Computer Vision, 60(1):63-86, 2004.
7. P. Musé, F. Sur, F. Cao, Y. Gousseau, and J.M. Morel, "An A Contrario Decision Method for Shape Element Recognition," International Journal of Computer Vision, 69(3):295-315,2006.
8. J. Matas, O. Chum, M. Urban, and T. Pajdla, "Robust wide-baseline stereo from maximally stable extremal regions," Image and Vision Computing, 22(10):761-767, 2004.
9. D.G Lowe. "Distinctive image features from scale-invariant key points," IJCV, 60(2):91-110, 2004.
10. G. Yu and J.M. Morel. "A Fully Affine Invariant Image Comparison Method," Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, 2009.
11. J.M. Morel and G. Yu. "ASIFT: A New Framework for Fully Affine Invariant Image Comparison," SIAM Journal on Imaging Sciences, 2009.
12. ERIC N M, HONGLI D, LINDA S, "A SIFT descriptor with global context," Computer Vision and Pattern Recognition,2005(1):20-25.
13. 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(1):43-72, 2005.
14. S. Belongie, J. Malik and J. Puzicha, "Shape matching and object recognition using shape contexts," PAMI, 24(4):509-522, 2002.
15. Beis, J.S., Lowe, D.G., "Shape indexing using approximate nearest-neighbour search in high-dimensional spaces," In: CVPR. (1997) 1000.
16. Ke, Y., Sukthankar, R., "PCA-SIFT: A more distinctive representation for local image descriptors," In: CVPR. (2004) 506-513.