Disparity map filter based on Weighted Least Squares filter (in form of Fast Global Smoother that is a lot faster than traditional Weighted Least Squares filter implementations) and optional use of left-right-consistency-based confidence to refine the results in half-occlusions and uniform areas.
More...
#include "disparity_filter.hpp"
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| virtual Mat | getConfidenceMap ()=0 |
| | Get the confidence map that was used in the last filter call. It is a CV_32F one-channel image with values ranging from 0.0 (totally untrusted regions of the raw disparity map) to 255.0 (regions containing correct disparity values with a high degree of confidence). More...
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| virtual int | getDepthDiscontinuityRadius ()=0 |
| | DepthDiscontinuityRadius is a parameter used in confidence computation. It defines the size of low-confidence regions around depth discontinuities. More...
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| virtual double | getLambda ()=0 |
| | Lambda is a parameter defining the amount of regularization during filtering. Larger values force filtered disparity map edges to adhere more to source image edges. Typical value is 8000. More...
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| virtual int | getLRCthresh ()=0 |
| | LRCthresh is a threshold of disparity difference used in left-right-consistency check during confidence map computation. The default value of 24 (1.5 pixels) is virtually always good enough. More...
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| virtual Rect | getROI ()=0 |
| | Get the ROI used in the last filter call. More...
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| virtual double | getSigmaColor ()=0 |
| | SigmaColor is a parameter defining how sensitive the filtering process is to source image edges. Large values can lead to disparity leakage through low-contrast edges. Small values can make the filter too sensitive to noise and textures in the source image. Typical values range from 0.8 to 2.0. More...
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| virtual void | setDepthDiscontinuityRadius (int _disc_radius)=0 |
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| virtual void | setLambda (double _lambda)=0 |
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| virtual void | setLRCthresh (int _LRC_thresh)=0 |
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| virtual void | setSigmaColor (double _sigma_color)=0 |
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| virtual void | filter (InputArray disparity_map_left, InputArray left_view, OutputArray filtered_disparity_map, InputArray disparity_map_right=Mat(), Rect ROI=Rect(), InputArray right_view=Mat())=0 |
| | Apply filtering to the disparity map. More...
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| | Algorithm () |
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| virtual | ~Algorithm () |
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| virtual void | clear () |
| | Clears the algorithm state. More...
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| virtual bool | empty () const |
| | Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
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| virtual String | getDefaultName () const |
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| virtual void | read (const FileNode &fn) |
| | Reads algorithm parameters from a file storage. More...
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| virtual void | save (const String &filename) const |
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| virtual void | write (FileStorage &fs) const |
| | Stores algorithm parameters in a file storage. More...
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Disparity map filter based on Weighted Least Squares filter (in form of Fast Global Smoother that is a lot faster than traditional Weighted Least Squares filter implementations) and optional use of left-right-consistency-based confidence to refine the results in half-occlusions and uniform areas.
| virtual Mat cv::ximgproc::DisparityWLSFilter::getConfidenceMap |
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pure virtual |
Get the confidence map that was used in the last filter call. It is a CV_32F one-channel image with values ranging from 0.0 (totally untrusted regions of the raw disparity map) to 255.0 (regions containing correct disparity values with a high degree of confidence).
| virtual int cv::ximgproc::DisparityWLSFilter::getDepthDiscontinuityRadius |
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pure virtual |
DepthDiscontinuityRadius is a parameter used in confidence computation. It defines the size of low-confidence regions around depth discontinuities.
| virtual double cv::ximgproc::DisparityWLSFilter::getLambda |
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pure virtual |
Lambda is a parameter defining the amount of regularization during filtering. Larger values force filtered disparity map edges to adhere more to source image edges. Typical value is 8000.
filter parameters
| virtual int cv::ximgproc::DisparityWLSFilter::getLRCthresh |
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pure virtual |
LRCthresh is a threshold of disparity difference used in left-right-consistency check during confidence map computation. The default value of 24 (1.5 pixels) is virtually always good enough.
confidence-related parameters
| virtual Rect cv::ximgproc::DisparityWLSFilter::getROI |
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pure virtual |
Get the ROI used in the last filter call.
| virtual double cv::ximgproc::DisparityWLSFilter::getSigmaColor |
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pure virtual |
SigmaColor is a parameter defining how sensitive the filtering process is to source image edges. Large values can lead to disparity leakage through low-contrast edges. Small values can make the filter too sensitive to noise and textures in the source image. Typical values range from 0.8 to 2.0.
| virtual void cv::ximgproc::DisparityWLSFilter::setDepthDiscontinuityRadius |
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int |
_disc_radius | ) |
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pure virtual |
| virtual void cv::ximgproc::DisparityWLSFilter::setLambda |
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double |
_lambda | ) |
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pure virtual |
| virtual void cv::ximgproc::DisparityWLSFilter::setLRCthresh |
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int |
_LRC_thresh | ) |
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pure virtual |
| virtual void cv::ximgproc::DisparityWLSFilter::setSigmaColor |
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double |
_sigma_color | ) |
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pure virtual |
The documentation for this class was generated from the following file:
- /build/master-contrib_docs-mac/opencv_contrib/modules/ximgproc/include/opencv2/ximgproc/disparity_filter.hpp
Public Member Functions inherited from cv::ximgproc::DisparityFilter
1.8.9.1
