DocumentCode :
149191
Title :
Multiscale keypoint analysis with triangular biorthogonal wavelets via redundant lifting
Author :
Fujinoki, Kensuke
Author_Institution :
Dept. of Math. Sci., Tokai Univ., Hiratsuka, Japan
fYear :
2014
fDate :
1-5 Sept. 2014
Firstpage :
1677
Lastpage :
1680
Abstract :
This paper presents an efficient approach for multiscale keypoint detection based on triangular biorthogonal wavelets. The detection scheme is simple and thus fast as only three isotropic directional components of an image obtained by multiscale decomposition with the triangular biorthogonal wavelets are used for keypoint localization at each scale. Redundant lifting is also considered and can be applied directly to calculate cumulative local energy distribution that is derived from the correction of the three directional components at each scale. This gives the efficient and accurate localization of keypoints including scale information. An experimental result shows that our method is better in the sense of the uniform distribution of keypoints compared with the conventional wavelet-based approach.
Keywords :
discrete wavelet transforms; image processing; cumulative local energy distribution; isotropic directional components; multiscale decomposition; multiscale keypoint analysis; redundant lifting; triangular biorthogonal wavelets; uniform distribution; Discrete wavelet transforms; Feature extraction; Image edge detection; Lattices; Signal resolution; Keypoint; discrete wavelet transform; lifting; redundant transform; triangular lattice;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
Conference_Location :
Lisbon
Type :
conf
Filename :
6952615
Link To Document :
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