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International Conference on Computer Graphics, Imaging and Visualization (CGIV'05)   pp. 137-140
Local Moment Invariant Analysis
Yufeng Chen, Chinese Academy of Sciences
Mandun Zhang, Chinese Academy of Sciences
Peng Lu, Chinese Academy of Sciences
Yangsheng Wang, Chinese Academy of Sciences

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGIV.2005.53
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Abstract
A new Local Moment Invariant Analysis (LMIA) method of images is proposed in this paper. Considering the background contrast, light condition and the camera parameters, the proposed method achieves the invariant under main imaging effect based on the model of the feature image transformation. Our method is specially designed not only for geometric properties, compared with the other kind of moments, and also more describable than some of the simple feature detectors. Also an efficient local moment computing algorithm is brought forward to deal with the large amount of computation, that can search the image almost in real-time. Experimental results show that the proposed approach is effective and suitable for the local feature detection.
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Citation:  Yufeng Chen, Mandun Zhang, Peng Lu, Yangsheng Wang, "Local Moment Invariant Analysis," cgiv, pp. 137-140,  International Conference on Computer Graphics, Imaging and Visualization (CGIV'05),  2005