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Modules | |
Global Motion Estimation | |
Functions | |
cv::videostab::ColorInpainter::ColorInpainter (int method=INPAINT_TELEA, double radius=2.) | |
template<typename T > | |
const T & | cv::videostab::at (int idx, const std::vector< T > &items) |
template<typename T > | |
T & | cv::videostab::at (int idx, std::vector< T > &items) |
float | cv::videostab::calcBlurriness (const Mat &frame) |
void | cv::videostab::calcFlowMask (const Mat &flowX, const Mat &flowY, const Mat &errors, float maxError, const Mat &mask0, const Mat &mask1, Mat &flowMask) |
void | cv::videostab::completeFrameAccordingToFlow (const Mat &flowMask, const Mat &flowX, const Mat &flowY, const Mat &frame1, const Mat &mask1, float distThresh, Mat &frame0, Mat &mask0) |
Detailed Description
The video stabilization module contains a set of functions and classes that can be used to solve the problem of video stabilization. There are a few methods implemented, most of them are described in the papers [OF06] and [G11] . However, there are some extensions and deviations from the original paper methods.
References
- "Full-Frame Video Stabilization with Motion Inpainting" Yasuyuki Matsushita, Eyal Ofek, Weina Ge, Xiaoou Tang, Senior Member, and Heung-Yeung Shum
- "Auto-Directed Video Stabilization with Robust L1 Optimal Camera Paths" Matthias Grundmann, Vivek Kwatra, Irfan Essa
Function Documentation
◆ ColorInpainter()
|
inline |
#include <opencv2/videostab/inpainting.hpp>
◆ at() [1/2]
template<typename T >
|
inline |
#include <opencv2/videostab/ring_buffer.hpp>
◆ at() [2/2]
template<typename T >
|
inline |
#include <opencv2/videostab/ring_buffer.hpp>
◆ calcBlurriness()
float cv::videostab::calcBlurriness | ( | const Mat & | frame | ) |
#include <opencv2/videostab/deblurring.hpp>
◆ calcFlowMask()
void cv::videostab::calcFlowMask | ( | const Mat & | flowX, |
const Mat & | flowY, | ||
const Mat & | errors, | ||
float | maxError, | ||
const Mat & | mask0, | ||
const Mat & | mask1, | ||
Mat & | flowMask | ||
) |
#include <opencv2/videostab/inpainting.hpp>