Local moment invariant analysis

Author

Chen, Yufeng ; Zhang, Mandun ; Lu, Peng ; Wang, Yangsheng

Author_Institution

Inst. of Autom., Chinese Acad. of Sci., Beijing, China

fYear

2005

fDate

26-29 July 2005

Firstpage

137

Lastpage

140

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.

Keywords

brightness; feature extraction; lighting; camera parameter; feature image transformation model; image background contrast; image lighting condition; local feature detection; local moment computing algorithm; local moment invariant analysis; real-time image search; Automation; Cameras; Computer vision; Design methodology; Detectors; Image analysis; Image reconstruction; Image retrieval; Image sensors; Object detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics, Imaging and Vision: New Trends, 2005. International Conference on

Print_ISBN

0-7695-2392-7

Type

conf

DOI

10.1109/CGIV.2005.53

Filename

1521053