Dyer [6] describes a set of possible strategies for performing match- ing directly on the multi-scale pyramidal representation. Cross-correlation is adopted here as a measure of similarity between template and a region of the image edge maps.
Our motivation for eq. Therefore we expect an improvement in the peak to correlation energy PCE [9]. This is shown, to be correct, both experimentally and analytically in the next section. In the case of the pyramidal- RR? This decrease is even greater for pyr 2 since the cross-terms increase as the image tends to become jc x; y j pure white noise. The condition of Theorem 1 expressed in eq.
Table 2 shows peak height PH , PCE of traditional cross-correlation, pyramidal-correlation and cross-correlation energies Ec. PH PCE 10? This is the reason for the smaller pyramidal-correlation peaks. Pyramidal cross- correlation, as seen in Fig. References [1] Alexandrov, V. A fast technique for recursive scene matching using pyramids.
Mc Graw Hill. Skip to search form Skip to main content Skip to account menu You are currently offline. Some features of the site may not work correctly. DOI: Bonmassar , E. Template matching via cross-correlation on Laplacian pyramid image architectures has been traditionally performed in a ''coarse'' to ''fine'' fashion. In the present paper, we show that by computing cross-correlation within each level of the pyramid independently, and considering the sum across expanded levels, a significant improvement in Peak to Correlation Energy PCE Kumar and Hassebrook, is obtained.
This result is illustrated with a number of numerical examples. View via Publisher. Save to Library Save. Create Alert Alert. Share This Paper. Background Citations. Methods Citations. Figures, Tables, and Topics from this paper.
Citation Type. Has PDF. Publication Type. More Filters. Combining gray level and gradient magnitude for scene matching. Mathematics, Engineering. The multi-scale features of the method can meet multiple needs of the matching accuracy and speed. Experiments show, the method improves the speed of cross correlation matching, and has certain robustness.
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