Matching by Tone Mapping: Photometric Invariant Template Matching

被引:89
作者
Hel-Or, Yacov [1 ]
Hel-Or, Hagit [2 ]
David, Eyal [2 ]
机构
[1] Interdisciplinary Ctr, Dept Comp Sci, Herzliyya, Israel
[2] Univ Haifa, Dept Comp Sci, IL-31905 Haifa, Israel
关键词
Pattern matching; template matching; structural similarity; photometric invariance; matching by tone mapping; MTM; nonlinear tone mapping; HISTOGRAMS; SCALE;
D O I
10.1109/TPAMI.2013.138
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:317 / 330
页数:14
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