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For visual tracking, we also introduce an adaptive histogram matching threshold for suspending tracking when the target is lost in a cluttered environment.
To systematically segment travel videos of bad visual quality and significant motion, we explore correlation between photos and videos based on approximate visual word histogram matching.
This paper proposes an automatic expert system for 3D terrain reconstruction and automatic intensity correction in stereo pairs of images based on histogram matching.
Finally we apply an efficient histogram matching algorithm on MRMEH to obtain the recognition result.
Perform histogram matching between the downscaled PAN and the NLPCs; 5.
Finally the human motion pose can be reconstructed by histogram matching.
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Obtain the difference between histogram matched original PAN and the histogram matched upscaled PAN; 8.
Upscale the NLPCs and the histogram matched PAN using CDF7 filter; 6.
The test data are transformed such that their cumulative histogram matches the cumulative histogram of the training data distribution.
Finally the difference between the two series of eight histogram matched PAN images is added to the upscaled MS image.
The set of eight histogram matched PAN images at 2 m is then upscaled back to 1 m and then to 0.5 m using CDF7 filter.
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