optflow_SparseRLOFOpticalFlow
import { optflow_SparseRLOFOpticalFlow } from '@banou/opencv-wasm'Use after await initOpenCV(). See the initialization and named imports guide.
Native object: release it with using or delete(). Factories can return null; check before calling methods. Inherits optflow_SparseOpticalFlow.
Class used for calculation sparse optical flow and feature tracking with robust local optical flow (RLOF) algorithms.
The RLOF is a fast local optical flow approach described in [Senst2012] [Senst2013] [Senst2014] and [Senst2016] similar to the pyramidal iterative Lucas-Kanade method as proposed by [Bouguet00]. More details and experiments can be found in the following thesis [Senst2019]. The implementation is derived from optflow::calcOpticalFlowPyrLK().
For the RLOF configuration see optflow::RLOFOpticalFlowParameter for further details. Parameters have been described in [Senst2012], [Senst2013], [Senst2014] and [Senst2016].
Note: SIMD parallelization is only available when compiling with SSE4.1. See: optflow::calcOpticalFlowSparseRLOF(), optflow::RLOFOpticalFlowParameter
Constructors and members
static create
Creates instance of SparseRLOFOpticalFlow
create(rlofParam: optflow_RLOFOpticalFlowParameter | null, forwardBackwardThreshold: number): optflow_SparseRLOFOpticalFlow | null;3 available overloads
create(): optflow_SparseRLOFOpticalFlow | null;create(rlofParam: optflow_RLOFOpticalFlowParameter | null): optflow_SparseRLOFOpticalFlow | null;create(rlofParam: optflow_RLOFOpticalFlowParameter | null, forwardBackwardThreshold: number): optflow_SparseRLOFOpticalFlow | null;rlofParamsee setRLOFOpticalFlowParameter
forwardBackwardThresholdsee setForwardBackward
The optflow_SparseRLOFOpticalFlow | null result.
clone
Create another handle to the same native object. This retains the object without copying its pixels or algorithm state; dispose both handles separately.
clone(): this;The this result.
setRLOFOpticalFlowParameter
Configure the rlofoptical flow parameter.
See: setRLOFOpticalFlowParameter
setRLOFOpticalFlowParameter(val: optflow_RLOFOpticalFlowParameter | null): void;valval argument (optflow_RLOFOpticalFlowParameter | null).
getRLOFOpticalFlowParameter
See: setRLOFOpticalFlowParameter
getRLOFOpticalFlowParameter(): optflow_RLOFOpticalFlowParameter | null;The optflow_RLOFOpticalFlowParameter | null result.
setForwardBackward
Threshold for the forward backward confidence check
For each feature point a motion vector d_{I0,I1}(\mathbf{x}) is computed.
If the forward backward error
EP_{FB} = || d_{I0,I1} + d_{I1,I0} ||
is larger than threshold given by this function then the status will not be used by the following
vector field interpolation. d_{I1,I0} denotes the backward flow. Note, the forward backward test
will only be applied if the threshold > 0. This may results into a doubled runtime for the motion estimation.
See: setForwardBackward
setForwardBackward(val: number): void;valval argument (number).
getForwardBackward
Threshold for the forward backward confidence check
For each feature point a motion vector d_{I0,I1}(\mathbf{x}) is computed.
If the forward backward error
EP_{FB} = || d_{I0,I1} + d_{I1,I0} ||
is larger than threshold given by this function then the status will not be used by the following
vector field interpolation. d_{I1,I0} denotes the backward flow. Note, the forward backward test
will only be applied if the threshold > 0. This may results into a doubled runtime for the motion estimation.
See: setForwardBackward
See: setForwardBackward
getForwardBackward(): number;The number result.
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