1-D fast normalized cross-correlation using additions
Digital Signal Processing
Machine Vision and Applications - Integrated Imaging and Vision Techniques for Industrial Inspection
Exploiting transitivity of correlation for fast template matching
IEEE Transactions on Image Processing
Cooperative template mechanism for cooperative design
CSCWD'05 Proceedings of the 9th international conference on Computer Supported Cooperative Work in Design II
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This paper proposes a new fast template matching algorithm that skips comparison between a template and search windows neighboring an already compared dissimilar sub-window. Comparison skipping is executed when a lower bound of distance between the template and a window exceeds a threshold. The lower bound of distance between the template and the window is determined by the triangular inequality in distances: the distance between a subtemplate and a subwindow and that between inter-subtemplates. Experimental results demonstrate that the proposed method is up to five times faster than the conventional fast exhaustive search method (Sequential Similarity Detection Algorithm), strictly guaranteeing the same accuracy.