DocumentCode :
1016120
Title :
Laplacian and orthogonal wavelet pyramid decompositions in coarse-to-fine registration
Author :
Allen, Ronald L. ; Kamangar, Farhad A. ; Stokely, Ernest M.
Author_Institution :
Dept. of Comput. Sci. Eng., Texas Univ., Arlington, TX, USA
Volume :
41
Issue :
12
fYear :
1993
fDate :
12/1/1993 12:00:00 AM
Firstpage :
3536
Lastpage :
3541
Abstract :
The authors develop orthogonal wavelet pyramid methods for registration and matching. The registration algorithm described compensates for the representation´s lack of translation invariance. It shows better performance when tested with Laplacian pyramids. For matching applications, they derive filters that directly generate coarse representations of candidates for comparison to library prototypes
Keywords :
filtering and prediction theory; signal processing; wavelet transforms; Laplacian pyramid decomposition; coarse-to-fine registration; filters; library prototypes; matching; orthogonal wavelet pyramid decompositions; performance; registration algorithm; Biomedical engineering; Computer vision; Filters; Laplace equations; Multiresolution analysis; Prototypes; Signal analysis; Signal processing; Signal resolution; Wavelet analysis;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.258092
Filename :
258092
Link To Document :
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