Video stabilizing method based on matching and tracking of characteristic
A video stabilization and feature matching technology, applied in TV, color TV, color TV components and other directions, can solve the problems of ghosting phenomenon, blurring, large time cost, etc., to achieve pleasant visual experience, good robustness and accuracy high degree of effect
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[0023] 1. The test data is a jitter video clip shot by a hand-held camera.
[0024] 2. Smooth each frame with a Gaussian function whose scale increases by 2 times, and find the extreme value of the difference of each layer as the feature point. Then upsample the image, smooth it with Gaussian functions of different scales, find the difference to find the extreme value, and so on. We upsample 3 times in the experiment. See Figure 2 for details on finding the Gaussian difference. Figure 3 illustrates the range of extreme points, including neighbor nodes on the same layer and upper and lower layers.
[0025] 3. Calculate the gradient direction of each feature point. The specific formula is as follows:
[0026] m ( x . y ) = ( L ( x + 1 ...
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