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Matching by Tone Mapping: Photometric Invariant Template Matching.

Authors :
Hel-Or, Yacov
Hel-Or, Hagit
David, Eyal
Source :
IEEE Transactions on Pattern Analysis & Machine Intelligence. Feb2014, Vol. 36 Issue 2, p317-330. 14p.
Publication Year :
2014

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. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
01628828
Volume :
36
Issue :
2
Database :
Academic Search Index
Journal :
IEEE Transactions on Pattern Analysis & Machine Intelligence
Publication Type :
Academic Journal
Accession number :
93280809
Full Text :
https://doi.org/10.1109/TPAMI.2013.138