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| cv::videostab::GaussianMotionFilter::GaussianMotionFilter (int radius=15, float stdev=-1.f) |
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| cv::videostab::RansacParams::RansacParams (int size, float thresh, float eps, float prob) |
| Constructor. More...
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Mat | cv::videostab::ensureInclusionConstraint (const Mat &M, Size size, float trimRatio) |
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Mat | cv::videostab::estimateGlobalMotionLeastSquares (InputOutputArray points0, InputOutputArray points1, int model=MM_AFFINE, float *rmse=0) |
| Estimates best global motion between two 2D point clouds in the least-squares sense. More...
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Mat | cv::videostab::estimateGlobalMotionRansac (InputArray points0, InputArray points1, int model=MM_AFFINE, const RansacParams ¶ms=RansacParams::default2dMotion(MM_AFFINE), float *rmse=0, int *ninliers=0) |
| Estimates best global motion between two 2D point clouds robustly (using RANSAC method). More...
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float | cv::videostab::estimateOptimalTrimRatio (const Mat &M, Size size) |
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Mat | cv::videostab::getMotion (int from, int to, const std::vector< Mat > &motions) |
| Computes motion between two frames assuming that all the intermediate motions are known. More...
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The video stabilization module contains a set of functions and classes for global motion estimation between point clouds or between images. In the last case features are extracted and matched internally. For the sake of convenience the motion estimation functions are wrapped into classes. Both the functions and the classes are available.
Describes motion model between two point clouds.
Enumerator |
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MM_TRANSLATION |
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MM_TRANSLATION_AND_SCALE |
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MM_ROTATION |
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MM_RIGID |
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MM_SIMILARITY |
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MM_AFFINE |
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MM_HOMOGRAPHY |
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MM_UNKNOWN |
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cv::videostab::GaussianMotionFilter::GaussianMotionFilter |
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int |
radius = 15 , |
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float |
stdev = -1.f |
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cv::videostab::RansacParams::RansacParams |
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int |
size, |
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float |
thresh, |
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float |
eps, |
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float |
prob |
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inline |
Constructor.
- Parameters
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size | Subset size. |
thresh | Maximum re-projection error value to classify as inlier. |
eps | Maximum ratio of incorrect correspondences. |
prob | Required success probability. |
Mat cv::videostab::ensureInclusionConstraint |
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const Mat & |
M, |
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Size |
size, |
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float |
trimRatio |
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Mat cv::videostab::estimateGlobalMotionLeastSquares |
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InputOutputArray |
points0, |
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InputOutputArray |
points1, |
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int |
model = MM_AFFINE , |
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float * |
rmse = 0 |
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Estimates best global motion between two 2D point clouds in the least-squares sense.
- Note
- Works in-place and changes input point arrays.
- Parameters
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points0 | Source set of 2D points (32F). |
points1 | Destination set of 2D points (32F). |
model | Motion model (up to MM_AFFINE). |
rmse | Final root-mean-square error. |
- Returns
- 3x3 2D transformation matrix (32F).
Mat cv::videostab::estimateGlobalMotionRansac |
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InputArray |
points0, |
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InputArray |
points1, |
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int |
model = MM_AFFINE , |
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const RansacParams & |
params = RansacParams::default2dMotion(MM_AFFINE) , |
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float * |
rmse = 0 , |
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int * |
ninliers = 0 |
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Estimates best global motion between two 2D point clouds robustly (using RANSAC method).
- Parameters
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points0 | Source set of 2D points (32F). |
points1 | Destination set of 2D points (32F). |
model | Motion model. See cv::videostab::MotionModel. |
params | RANSAC method parameters. See videostab::RansacParams. |
rmse | Final root-mean-square error. |
ninliers | Final number of inliers. |
float cv::videostab::estimateOptimalTrimRatio |
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const Mat & |
M, |
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Size |
size |
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Mat cv::videostab::getMotion |
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int |
from, |
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int |
to, |
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const std::vector< Mat > & |
motions |
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Computes motion between two frames assuming that all the intermediate motions are known.
- Parameters
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from | Source frame index. |
to | Destination frame index. |
motions | Pair-wise motions. motions[i] denotes motion from the frame i to the frame i+1 |
- Returns
- Motion from the frame from to the frame to.