DocumentCode :
58513
Title :
Matching by Tone Mapping: Photometric Invariant Template Matching
Author :
Hel-Or, Yacov ; Hel-Or, Hagit ; David, E.
Author_Institution :
Dept. of Comput. Sci., Interdiscipl. Center, Herzliya, Israel
Volume :
36
Issue :
2
fYear :
2014
fDate :
Feb. 2014
Firstpage :
317
Lastpage :
330
Abstract :
A fast pattern matching scheme termed matching by tone mapping (MTM) is introduced which allows matching under nonlinear tone mappings. We show that, when tone mapping is approximated by a piecewise constant/linear function, a fast computational scheme is possible requiring computational time similar to the fast implementation of normalized cross correlation (NCC). In fact, the MTM measure can be viewed as a generalization of the NCC for nonlinear mappings and actually reduces to NCC when mappings are restricted to be linear. We empirically show that the MTM is highly discriminative and robust to noise with comparable performance capability to that of the well performing mutual information, but on par with NCC in terms of computation time.
Keywords :
approximation theory; correlation theory; image matching; photometry; piecewise linear techniques; MTM measure; NCC generalization; approximation theory; computational time; matching by tone mapping; nonlinear tone mapping; normalized cross correlation; pattern matching scheme; photometric invariant template matching; piecewise constant function; piecewise linear function; Convolution; Correlation; Equations; Histograms; Mathematical model; Pattern matching; Vectors; MTM; Pattern matching; matching by tone mapping; nonlinear tone mapping; photometric invariance; structural similarity; template matching;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.2013.138
Filename :
6568859
Link To Document :
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