Trait opencv::hub_prelude::SFMLibmvEuclideanReconstruction

pub trait SFMLibmvEuclideanReconstruction: BaseSFM + SFMLibmvEuclideanReconstructionConst {
    fn as_raw_mut_SFMLibmvEuclideanReconstruction(&mut self) -> *mut c_void;

    fn run(&mut self, points2d: &dyn ToInputArray) -> Result<()> { ... }
    fn run_1(
        &mut self, 
        points2d: &dyn ToInputArray, 
        k: &mut dyn ToInputOutputArray, 
        rs: &mut dyn ToOutputArray, 
        ts: &mut dyn ToOutputArray, 
        points3d: &mut dyn ToOutputArray
    ) -> Result<()> { ... }
    fn run_2(&mut self, images: &Vector<String>) -> Result<()> { ... }
    fn run_3(
        &mut self, 
        images: &Vector<String>, 
        k: &mut dyn ToInputOutputArray, 
        rs: &mut dyn ToOutputArray, 
        ts: &mut dyn ToOutputArray, 
        points3d: &mut dyn ToOutputArray
    ) -> Result<()> { ... }
    fn get_points(&mut self, points3d: &mut dyn ToOutputArray) -> Result<()> { ... }
    fn get_cameras(
        &mut self, 
        rs: &mut dyn ToOutputArray, 
        ts: &mut dyn ToOutputArray
    ) -> Result<()> { ... }
    fn set_reconstruction_options(
        &mut self, 
        libmv_reconstruction_options: libmv_ReconstructionOptions
    ) -> Result<()> { ... }
    fn set_camera_intrinsic_options(
        &mut self, 
        libmv_camera_intrinsics_options: libmv_CameraIntrinsicsOptions
    ) -> Result<()> { ... }
}

Required Methods

fn as_raw_mut_SFMLibmvEuclideanReconstruction(&mut self) -> *mut c_void

Provided Methods

fn run(&mut self, points2d: &dyn ToInputArray) -> Result<()>

Calls the pipeline in order to perform Eclidean reconstruction.

Parameters

• points2d: Input vector of vectors of 2d points (the inner vector is per image).

Note:

• Tracks must be as precise as possible. It does not handle outliers and is very sensible to them.

fn run_1(
    &mut self,
    points2d: &dyn ToInputArray,
    k: &mut dyn ToInputOutputArray,
    rs: &mut dyn ToOutputArray,
    ts: &mut dyn ToOutputArray,
    points3d: &mut dyn ToOutputArray
) -> Result<()>

Calls the pipeline in order to perform Eclidean reconstruction.

Parameters

• points2d: Input vector of vectors of 2d points (the inner vector is per image).
• K: Input/Output camera matrix . Input parameters used as initial guess.
• Rs: Output vector of 3x3 rotations of the camera.
• Ts: Output vector of 3x1 translations of the camera.
• points3d: Output array with estimated 3d points.

Note:

• Tracks must be as precise as possible. It does not handle outliers and is very sensible to them.

fn run_2(&mut self, images: &Vector<String>) -> Result<()>

Calls the pipeline in order to perform Eclidean reconstruction.

Parameters

• images: a vector of string with the images paths.

Note:

• The images must be ordered as they were an image sequence. Additionally, each frame should be as close as posible to the previous and posterior.
• For now DAISY features are used in order to compute the 2d points tracks and it only works for 3-4 images.

fn run_3(
    &mut self,
    images: &Vector<String>,
    k: &mut dyn ToInputOutputArray,
    rs: &mut dyn ToOutputArray,
    ts: &mut dyn ToOutputArray,
    points3d: &mut dyn ToOutputArray
) -> Result<()>

Calls the pipeline in order to perform Eclidean reconstruction.

Parameters

• images: a vector of string with the images paths.
• K: Input/Output camera matrix . Input parameters used as initial guess.
• Rs: Output vector of 3x3 rotations of the camera.
• Ts: Output vector of 3x1 translations of the camera.
• points3d: Output array with estimated 3d points.

Note:

• The images must be ordered as they were an image sequence. Additionally, each frame should be as close as posible to the previous and posterior.
• For now DAISY features are used in order to compute the 2d points tracks and it only works for 3-4 images.

fn get_points(&mut self, points3d: &mut dyn ToOutputArray) -> Result<()>

Returns the estimated 3d points.

Parameters

• points3d: Output array with estimated 3d points.

fn get_cameras(
    &mut self,
    rs: &mut dyn ToOutputArray,
    ts: &mut dyn ToOutputArray
) -> Result<()>

Returns the estimated camera extrinsic parameters.

Parameters

• Rs: Output vector of 3x3 rotations of the camera.
• Ts: Output vector of 3x1 translations of the camera.

fn set_reconstruction_options(
    &mut self,
    libmv_reconstruction_options: libmv_ReconstructionOptions
) -> Result<()>

Setter method for reconstruction options.

Parameters

• libmv_reconstruction_options: struct with reconstruction options such as initial keyframes, automatic keyframe selection, parameters to refine and the verbosity level.

fn set_camera_intrinsic_options(
    &mut self,
    libmv_camera_intrinsics_options: libmv_CameraIntrinsicsOptions
) -> Result<()>

Setter method for camera intrinsic options.

Parameters

• libmv_camera_intrinsics_options: struct with camera intrinsic options such as camera model and the internal camera parameters.

Implementations

impl dyn SFMLibmvEuclideanReconstruction + '_

pub fn create(
    camera_instrinsic_options: libmv_CameraIntrinsicsOptions,
    reconstruction_options: libmv_ReconstructionOptions
) -> Result<Ptr<dyn SFMLibmvEuclideanReconstruction>>

Creates an instance of the SFMLibmvEuclideanReconstruction class. Initializes Libmv.

C++ default parameters

• camera_instrinsic_options: libmv_CameraIntrinsicsOptions()
• reconstruction_options: libmv_ReconstructionOptions()

Implementors

impl SFMLibmvEuclideanReconstruction for PtrOfSFMLibmvEuclideanReconstruction