Matching by tone mapping: photometric invariant template matching

IEEE Transactions on Pattern Analysis and Machine Intelligence
Yacov Hel-OrEyal David

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.

References

Oct 22, 2005·IEEE Transactions on Pattern Analysis and Machine Intelligence·Krystian Mikolajczyk, Cordelia Schmid
Aug 12, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Umesh AdigaCarlos Ortiz de Solorzano
Nov 2, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jose M PalomaresAlberto Prieto
Apr 9, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Y Hel-Or, D Shaked

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Citations

Sep 29, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Vinh Quang DinhJae Jeon
Jun 18, 2017·IEEE Transactions on Pattern Analysis and Machine Intelligence·Gyorgy Kovacs

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