Local Moment Invariant Analysis

Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005

Volumn 2005, Issue , 2005, Pages 137-140

  Chen, Yufeng ^a   Zhang, Mandun ^a   Lu, Peng ^a   Wang, Yangsheng ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CAMERAS; COMPUTATION THEORY; DETECTORS; FEATURE EXTRACTION;

FEATURE IMAGE TRANSFORMATION; LOCAL MOMENT COMPUTING ALGORITHM; LOCAL MOMENT INVARIANT ANALYSIS (LMIA);

IMAGE ANALYSIS;

EID: 33748855836     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CGIV.2005.53     Document Type: Conference Paper

References (12)

1. K. Kira and L.A. Rendell. The feature selection problem:traditional methods and a new algorithm. In 10th National Conference on Machine Intelligence, 1992.
2. J. Shi and C. Tomasi. Good features to track. In IEEE Conference on Computer Vision and Pattern Recognition, Seattle, June 1994.
3. M-K. Hu. Visual pattern recognition by moment invariants. IRE Transaction on Information Theory, IT-8:179-187, 1962.
4. M. R. Teague. Image analysis via the general theory of moment. Journal of the Optical Society of'America, 70(8):920-930,1979.
5. F. Zernike. Diffraction theory of the cut procedure and its improved form, the phase contrast method. Physica, (1):689-704,1934.
6. J. Heikkila. Pattern matching with affine moment descriptors. Pattern Recognition, 37:1825-1834,2004.
7. C. Chong, P. Raveendranb, and R. Mukundanc. Translation invariants of zernike moments. Pattern Recognition, 36:1765-1773,2003.
8. D. Shen and H.S. Horace. Discriminative wavelet shape descriptors for recognition of 2-d patterns. Pattern Recognition, 32:151-165,1999.
9. R. Takamatsu, M. Sato, and H. Kawarada. Pointing device gazing at hand based on local moments. In Proceedings of SPIE, volume 3028 of Real-Time Imaging II, pages 155-163, April 1997.
10. Woodham R.J. Photometry method for determining surface orientation from multiple images. Optical Engineering, 19(1):139-144,1980.
11. M. Pawlak. On the reconstruction aspects of moment descriptors. IEEE Trans, on Information Theory, 38(6): 1698-1708, 1992.
12. J.R.Mathiassen, A.Skavhaug, and K.Bo. Testure similarity measure using kullback-leiber divergence between gamma distributions. In European Conference on Computer Vision, pages 133-147, 2002.