%0 Generic %1 Lewis95fastnormalized %A Lewis, J. P. %D 1995 %K NCC %T Fast Normalized Cross-Correlation %U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.6062 %X Although it is well known that cross correlation can be efficiently implemented in the transform domain, the normalized form of cross correlation preferred for feature matching applications does not have a simple frequency domain expression. Normalized cross correlation has been computed in the spatial domain for this reason. This short paper shows that unnormalized cross correlation can be efficiently normalized using precomputing integrals of the image and image 2 over the search window. 1

@misc{Lewis95fastnormalized, abstract = {Although it is well known that cross correlation can be efficiently implemented in the transform domain, the normalized form of cross correlation preferred for feature matching applications does not have a simple frequency domain expression. Normalized cross correlation has been computed in the spatial domain for this reason. This short paper shows that unnormalized cross correlation can be efficiently normalized using precomputing integrals of the image and image 2 over the search window. 1}, added-at = {2012-11-14T21:32:06.000+0100}, author = {Lewis, J. P.}, biburl = {https://www.bibsonomy.org/bibtex/279f372424db0e67f33b32871a6873c9b/daill}, description = {CiteSeerX — Fast Normalized Cross-Correlation}, interhash = {232f4a4901ce85a2b37f806ba675c8a0}, intrahash = {79f372424db0e67f33b32871a6873c9b}, keywords = {NCC}, timestamp = {2012-11-14T21:32:06.000+0100}, title = {Fast Normalized Cross-Correlation}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.6062}, year = 1995 }