Description of local singularities for image registration

Proceedings - International Conference on Pattern Recognition

Volumn 4, Issue , 2006, Pages 61-64

  Ros, Julien ^a   Laurent, Christophe ^a  

^a ORANGE LABS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS; WAVELET ANALYSIS;

LOCAL SINGULARITY; MATHEMATICAL NOTION; MINIMAL REGULARITY; SALIENT POINTS;

IMAGE REGISTRATION;

EID: 34147112228     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.430     Document Type: Conference Paper

References (6)

1. Ke Y. and Suthankar R. PCA-SIFT: A more distinctive representation for local image descriptors. In Proceedings of Conference on Computer Vision and Pattern Recognition, volume 1, pages 511-517, Washington, USA, 2004. IEEE Computer Society.
2. Lowe D.G. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
3. Mallat S. Foveal Approximations for Singularities. Applied and Computational Harmonic Analysis, 14(2): 133-180, 2003.
4. Mallat S. and Hwang W.L. Singularity detection and processing with wavelets. IEEE Transactions on Information Theory, 32(2):617-643, 1992.
5. Mikolajczyk K. and Schmid C. Scale & affine invariant interest point detectors. International Journal of Computer Vision, 60(1):63-86, 2004.
6. Mikolajczyk K. and Schmid C. A performance evaluation of local descriptors. IEEE Transaction on Pattern Analysis and Machine Intelligence, 27(10):1615-1630, October 2005.