OpenCV
3.4.15
Open Source Computer Vision
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Classes | |
class | cv::DenseOpticalFlow |
class | cv::DualTVL1OpticalFlow |
"Dual TV L1" Optical Flow Algorithm. More... | |
class | cv::FarnebackOpticalFlow |
Class computing a dense optical flow using the Gunnar Farneback's algorithm. More... | |
class | cv::KalmanFilter |
Kalman filter class. More... | |
class | cv::SparseOpticalFlow |
Base interface for sparse optical flow algorithms. More... | |
class | cv::SparsePyrLKOpticalFlow |
Class used for calculating a sparse optical flow. More... | |
Namespaces | |
cv | |
Enumerations | |
enum | { cv::OPTFLOW_USE_INITIAL_FLOW = 4, cv::OPTFLOW_LK_GET_MIN_EIGENVALS = 8, cv::OPTFLOW_FARNEBACK_GAUSSIAN = 256 } |
enum | { cv::MOTION_TRANSLATION = 0, cv::MOTION_EUCLIDEAN = 1, cv::MOTION_AFFINE = 2, cv::MOTION_HOMOGRAPHY = 3 } |
Functions | |
int | cv::buildOpticalFlowPyramid (InputArray img, OutputArrayOfArrays pyramid, Size winSize, int maxLevel, bool withDerivatives=true, int pyrBorder=BORDER_REFLECT_101, int derivBorder=BORDER_CONSTANT, bool tryReuseInputImage=true) |
Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK. More... | |
void | cv::calcOpticalFlowFarneback (InputArray prev, InputArray next, InputOutputArray flow, double pyr_scale, int levels, int winsize, int iterations, int poly_n, double poly_sigma, int flags) |
Computes a dense optical flow using the Gunnar Farneback's algorithm. More... | |
void | cv::calcOpticalFlowPyrLK (InputArray prevImg, InputArray nextImg, InputArray prevPts, InputOutputArray nextPts, OutputArray status, OutputArray err, Size winSize=Size(21, 21), int maxLevel=3, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01), int flags=0, double minEigThreshold=1e-4) |
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids. More... | |
RotatedRect | cv::CamShift (InputArray probImage, Rect &window, TermCriteria criteria) |
Finds an object center, size, and orientation. More... | |
double | cv::computeECC (InputArray templateImage, InputArray inputImage, InputArray inputMask=noArray()) |
Computes the Enhanced Correlation Coefficient value between two images [63] . More... | |
Ptr< DualTVL1OpticalFlow > | cv::createOptFlow_DualTVL1 () |
Creates instance of cv::DenseOpticalFlow. More... | |
Mat | cv::estimateRigidTransform (InputArray src, InputArray dst, bool fullAffine) |
Computes an optimal affine transformation between two 2D point sets. More... | |
Mat | cv::estimateRigidTransform (InputArray src, InputArray dst, bool fullAffine, int ransacMaxIters, double ransacGoodRatio, int ransacSize0) |
double | cv::findTransformECC (InputArray templateImage, InputArray inputImage, InputOutputArray warpMatrix, int motionType, TermCriteria criteria, InputArray inputMask, int gaussFiltSize) |
Finds the geometric transform (warp) between two images in terms of the ECC criterion [63] . More... | |
double | cv::findTransformECC (InputArray templateImage, InputArray inputImage, InputOutputArray warpMatrix, int motionType=MOTION_AFFINE, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 50, 0.001), InputArray inputMask=noArray()) |
int | cv::meanShift (InputArray probImage, Rect &window, TermCriteria criteria) |
Finds an object on a back projection image. More... | |