Class cv::CalibrateRobertson#
Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system. This algorithm uses all image pixels. View details
#include <opencv2/photo.hpp>Collaboration diagram for cv::CalibrateRobertson:
Public Member Functions#
Public Member Functions inherited from cv::CalibrateCRF
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Recovers inverse camera response. |
Public Member Functions inherited from cv::Algorithm
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Clears the algorithm state. |
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Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. |
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Reads algorithm parameters from a file storage. |
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Stores algorithm parameters in a file storage. |
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Static Public Member Functions#
Static Public Member Functions inherited from cv::Algorithm
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Loads algorithm from the file. |
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Loads algorithm from a String. |
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Reads algorithm from the file node. |
Additional Inherited Members#
Protected Member Functions inherited from cv::Algorithm
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Detailed Description#
Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system. This algorithm uses all image pixels.
For more information see RB99 .
Member Function Documentation#
getMaxIter()#
int cv::CalibrateRobertson::getMaxIter()
Python:
cv.CalibrateRobertson.getMaxIter() -> retval
getRadiance()#
Mat cv::CalibrateRobertson::getRadiance()
Python:
cv.CalibrateRobertson.getRadiance() -> retval
getThreshold()#
float cv::CalibrateRobertson::getThreshold()
Python:
cv.CalibrateRobertson.getThreshold() -> retval
setMaxIter()#
void cv::CalibrateRobertson::setMaxIter(int max_iter)
Python:
cv.CalibrateRobertson.setMaxIter(max_iter)
setThreshold()#
void cv::CalibrateRobertson::setThreshold(float threshold)
Python:
cv.CalibrateRobertson.setThreshold(threshold)
Source file#
The documentation for this class was generated from the following file:
opencv2/photo.hpp