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Wysłany: Czw 19:32, 06 Sty 2011
Temat postu: Mont Blanc pens Scene Matching geometric perspecti
Scene Matching geometric perspective correction and normalized cross-correlation template matching
, F is the Fourier transform: F {F (f) F'(,)}( 8) (8) can be used to calculate the fast Fourier transform algorithm. Type (6) the denominator of the calculation can be described in the literature 【5】 fast algorithm. Using (6) Calculate the template image f t and the normalized correlation matrix, the template image is smaller than t f, the matrix is formed by the correlation coefficient for each correlation coefficient range was to be. 1,1】. Calculation of normalized cross correlation matrix and shows the surface map,
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, the peak occurrence of correlation matrix and the template is the most relevant local areas. The total offset between the two images and cross-correlation peak shift depends on the location, size and location of the template. 4 Simulation results and conclusions of the images used Matlab6.1 I6】 simulation toolbox. Shown in Figure 1, real-time graph compared with the reference image rotation, large coordinates are as follows: 164.5639113.2890353.5325130.0798143.4046284.8935353.5325311.9810 relative should be based on these four points, the use described above perspective transformation correction method to correct real-time graph, calibration results shown in Figure 1. Cut from the base figure of a 60X60 pixel size of the building as a template, set it as the target precision strike weapon, the use of normalized correlation above matching method, after adjustment for the related real-time graph matching. Correlation coefficient map and the matching results shown in Figure 2. The maximum correlation coefficient is 0.6, the occurrence and correction of the area immediately after the template is an exact match local plans; and then calculate the relative offset of the two plans. Availability of (163,165), shown in red to match the template region. In short, the geometric correction of the more prominent features,
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, the J or automatic methods employing these features determine the location of the more precise geometric correction Scene Matching perspective correction and normalized cross-correlation template matching Yang Min, etc. in June 2003 the first 34, No. 2 (Total ll1 period) is small,
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, the figure highway in the same direction, indicating that two plans have the same coordinate system,
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, for later laid a solid foundation for the match. Normalized correlation based template matching method, as shown in Figure 2, match results are very accurate, this method is simple, using fast algorithms, computational complexity is low. Real-time distortion map base circle Yu Yu corrected real-time loop ● ■ Yu compared the results of Figure l the results of geometric correction, the better. The image using Matlab toolbox, feature selection can achieve sub-pixel accuracy. As shown in Figure l,
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, from the calibration results, the corrected real-time image and reference image is as large as
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