Reliable rejection of mismatching candidates for efficient ZNCC template matching

Stefano Mattoccia, Federico Tombari, Luigi Di Stefano
2008 2008 15th IEEE International Conference on Image Processing  
This paper presents a method that reduces the computational cost of template matching based on the Zero-mean Normalized Cross-Correlation (ZNCC) without compromising the accuracy of the results. A very effective condition is determined at a small and xed cost that allow to rapidly detect a large number of mismatching candidates with no need to compute the ZNCC score. Then, thanks to the use of an additional set of conditions, the computation of the whole ZNCC function is typically required only
more » ... for a very small number of candidates. Experimental results demonstrate the effectiveness of our approach.
doi:10.1109/icip.2008.4711888 dblp:conf/icip/MattocciaTS08 fatcat:apnvdgqkdjf5roqhhfi2jamdo4