Sparse match interpolation algorithm based on modified locally-weighted affine estimator from [116] and Fast Global Smoother as post-processing filter.
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#include "sparse_match_interpolator.hpp"
Sparse match interpolation algorithm based on modified locally-weighted affine estimator from [116] and Fast Global Smoother as post-processing filter.
virtual float cv::ximgproc::EdgeAwareInterpolator::getFGSLambda |
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pure virtual |
virtual float cv::ximgproc::EdgeAwareInterpolator::getFGSSigma |
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pure virtual |
virtual int cv::ximgproc::EdgeAwareInterpolator::getK |
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pure virtual |
virtual float cv::ximgproc::EdgeAwareInterpolator::getLambda |
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pure virtual |
virtual float cv::ximgproc::EdgeAwareInterpolator::getSigma |
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pure virtual |
virtual bool cv::ximgproc::EdgeAwareInterpolator::getUsePostProcessing |
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pure virtual |
virtual void cv::ximgproc::EdgeAwareInterpolator::setFGSLambda |
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float |
_lambda | ) |
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pure virtual |
virtual void cv::ximgproc::EdgeAwareInterpolator::setFGSSigma |
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float |
_sigma | ) |
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pure virtual |
virtual void cv::ximgproc::EdgeAwareInterpolator::setK |
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int |
_k | ) |
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pure virtual |
K is a number of nearest-neighbor matches considered, when fitting a locally affine model. Usually it should be around 128. However, lower values would make the interpolation noticeably faster.
virtual void cv::ximgproc::EdgeAwareInterpolator::setLambda |
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float |
_lambda | ) |
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pure virtual |
Lambda is a parameter defining the weight of the edge-aware term in geodesic distance, should be in the range of 0 to 1000.
virtual void cv::ximgproc::EdgeAwareInterpolator::setSigma |
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float |
_sigma | ) |
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pure virtual |
Sigma is a parameter defining how fast the weights decrease in the locally-weighted affine fitting. Higher values can help preserve fine details, lower values can help to get rid of noise in the output flow.
virtual void cv::ximgproc::EdgeAwareInterpolator::setUsePostProcessing |
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bool |
_use_post_proc | ) |
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pure virtual |
The documentation for this class was generated from the following file: