[−][src]Struct opencv::optflow::RLOFOpticalFlowParameter
This is used store and set up the parameters of the robust local optical flow (RLOF) algoritm.
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(). This RLOF implementation can be seen as an improved pyramidal iterative Lucas-Kanade and includes a set of improving modules. The main improvements in respect to the pyramidal iterative Lucas-Kanade are:
- A more robust redecending M-estimator framework (see Senst2012) to improve the accuracy at motion boundaries and appearing and disappearing pixels.
- an adaptive support region strategies to improve the accuracy at motion boundaries to reduce the corona effect, i.e oversmoothing of the PLK at motion/object boundaries. The cross-based segementation strategy (SR_CROSS) proposed in Senst2014 uses a simple segmenation approach to obtain the optimal shape of the support region.
- To deal with illumination changes (outdoor sequences and shadow) the intensity constancy assumption based optical flow equation has been adopt with the Gennert and Negahdaripour illumination model (see Senst2016). This model can be switched on/off with the useIlluminationModel variable.
- By using a global motion prior initialization (see Senst2016) of the iterative refinement the accuracy could be significantly improved for large displacements. This initialization can be switched on and of with useGlobalMotionPrior variable.
The RLOF can be computed with the SparseOpticalFlow class or function interface to track a set of features or with the DenseOpticalFlow class or function interface to compute dense optical flow.
See also
optflow::DenseRLOFOpticalFlow, optflow::calcOpticalFlowDenseRLOF(), optflow::SparseRLOFOpticalFlow, optflow::calcOpticalFlowSparseRLOF()
Implementations
impl RLOFOpticalFlowParameter
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pub fn as_raw_RLOFOpticalFlowParameter(&self) -> *const c_void
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pub fn as_raw_mut_RLOFOpticalFlowParameter(&mut self) -> *mut c_void
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impl RLOFOpticalFlowParameter
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pub fn default() -> Result<RLOFOpticalFlowParameter>
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pub fn create() -> Result<Ptr<RLOFOpticalFlowParameter>>
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Creates instance of optflow::RLOFOpticalFlowParameter
Trait Implementations
impl Boxed for RLOFOpticalFlowParameter
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unsafe fn from_raw(ptr: *mut c_void) -> Self
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fn into_raw(self) -> *mut c_void
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fn as_raw(&self) -> *const c_void
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fn as_raw_mut(&mut self) -> *mut c_void
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impl Drop for RLOFOpticalFlowParameter
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impl RLOFOpticalFlowParameterTrait for RLOFOpticalFlowParameter
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fn as_raw_RLOFOpticalFlowParameter(&self) -> *const c_void
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fn as_raw_mut_RLOFOpticalFlowParameter(&mut self) -> *mut c_void
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fn solver_type(&self) -> SolverType
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fn set_solver_type(&mut self, val: SolverType)
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fn support_region_type(&self) -> SupportRegionType
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fn set_support_region_type(&mut self, val: SupportRegionType)
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fn norm_sigma0(&self) -> f32
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fn set_norm_sigma0(&mut self, val: f32)
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fn norm_sigma1(&self) -> f32
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fn set_norm_sigma1(&mut self, val: f32)
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fn small_win_size(&self) -> i32
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fn set_small_win_size(&mut self, val: i32)
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fn large_win_size(&self) -> i32
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fn set_large_win_size(&mut self, val: i32)
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fn cross_segmentation_threshold(&self) -> i32
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fn set_cross_segmentation_threshold(&mut self, val: i32)
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fn max_level(&self) -> i32
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fn set_max_level(&mut self, val: i32)
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fn use_initial_flow(&self) -> bool
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fn set_use_initial_flow(&mut self, val: bool)
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fn use_illumination_model(&self) -> bool
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fn set_use_illumination_model(&mut self, val: bool)
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fn use_global_motion_prior(&self) -> bool
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fn set_use_global_motion_prior(&mut self, val: bool)
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fn max_iteration(&self) -> i32
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fn set_max_iteration(&mut self, val: i32)
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fn min_eigen_value(&self) -> f32
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fn set_min_eigen_value(&mut self, val: f32)
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fn global_motion_ransac_threshold(&self) -> f32
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fn set_global_motion_ransac_threshold(&mut self, val: f32)
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fn set_use_m_estimator(&mut self, val: bool) -> Result<()>
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fn set_solver_type_1(&mut self, val: SolverType) -> Result<()>
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fn get_solver_type(&self) -> Result<SolverType>
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fn set_support_region_type_1(&mut self, val: SupportRegionType) -> Result<()>
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fn get_support_region_type(&self) -> Result<SupportRegionType>
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fn set_norm_sigma0_1(&mut self, val: f32) -> Result<()>
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fn get_norm_sigma0(&self) -> Result<f32>
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fn set_norm_sigma1_1(&mut self, val: f32) -> Result<()>
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fn get_norm_sigma1(&self) -> Result<f32>
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fn set_small_win_size_1(&mut self, val: i32) -> Result<()>
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fn get_small_win_size(&self) -> Result<i32>
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fn set_large_win_size_1(&mut self, val: i32) -> Result<()>
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fn get_large_win_size(&self) -> Result<i32>
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fn set_cross_segmentation_threshold_1(&mut self, val: i32) -> Result<()>
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fn get_cross_segmentation_threshold(&self) -> Result<i32>
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fn set_max_level_1(&mut self, val: i32) -> Result<()>
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fn get_max_level(&self) -> Result<i32>
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fn set_use_initial_flow_1(&mut self, val: bool) -> Result<()>
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fn get_use_initial_flow(&self) -> Result<bool>
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fn set_use_illumination_model_1(&mut self, val: bool) -> Result<()>
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fn get_use_illumination_model(&self) -> Result<bool>
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fn set_use_global_motion_prior_1(&mut self, val: bool) -> Result<()>
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fn get_use_global_motion_prior(&self) -> Result<bool>
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fn set_max_iteration_1(&mut self, val: i32) -> Result<()>
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fn get_max_iteration(&self) -> Result<i32>
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fn set_min_eigen_value_1(&mut self, val: f32) -> Result<()>
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fn get_min_eigen_value(&self) -> Result<f32>
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fn set_global_motion_ransac_threshold_1(&mut self, val: f32) -> Result<()>
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fn get_global_motion_ransac_threshold(&self) -> Result<f32>
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impl Send for RLOFOpticalFlowParameter
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Auto Trait Implementations
impl RefUnwindSafe for RLOFOpticalFlowParameter
impl !Sync for RLOFOpticalFlowParameter
impl Unpin for RLOFOpticalFlowParameter
impl UnwindSafe for RLOFOpticalFlowParameter
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,