[−][src]Trait opencv::prelude::SFMLibmvEuclideanReconstruction

pub trait SFMLibmvEuclideanReconstruction: BaseSFM {
    pub fn as_raw_SFMLibmvEuclideanReconstruction(&self) -> *const c_void;

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

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

    pub 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<()> { ... }

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

    pub 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<()> { ... }

    pub fn get_error(&self) -> Result<f64> { ... }

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

    pub fn get_intrinsics(&self) -> Result<Mat> { ... }

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

    pub fn set_reconstruction_options(
        &mut self, 
        libmv_reconstruction_options: libmv_ReconstructionOptions
    ) -> Result<()> { ... }

    pub fn set_camera_intrinsic_options(
        &mut self, 
        libmv_camera_intrinsics_options: libmv_CameraIntrinsicsOptions
    ) -> Result<()> { ... }
}

SFMLibmvEuclideanReconstruction class provides an interface with the Libmv Structure From Motion pipeline.

Required methods

pub fn as_raw_SFMLibmvEuclideanReconstruction(&self) -> *const c_void[src]

pub fn as_raw_mut_SFMLibmvEuclideanReconstruction(&mut self) -> *mut c_void[src]

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Provided methods

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

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.

pub 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<()>[src]

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 inline formula. 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.

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

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.

pub 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<()>[src]

Calls the pipeline in order to perform Eclidean reconstruction.

Parameters

  • images: a vector of string with the images paths.
  • K: Input/Output camera matrix inline formula. 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.

pub fn get_error(&self) -> Result<f64>[src]

Returns the computed reprojection error.

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

Returns the estimated 3d points.

Parameters

  • points3d: Output array with estimated 3d points.

pub fn get_intrinsics(&self) -> Result<Mat>[src]

Returns the refined camera calibration matrix.

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

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.

pub fn set_reconstruction_options(
    &mut self,
    libmv_reconstruction_options: libmv_ReconstructionOptions
) -> Result<()>[src]

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.

pub fn set_camera_intrinsic_options(
    &mut self,
    libmv_camera_intrinsics_options: libmv_CameraIntrinsicsOptions
) -> Result<()>[src]

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.
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Implementations

impl<'_> dyn SFMLibmvEuclideanReconstruction + '_[src]

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

Creates an instance of the SFMLibmvEuclideanReconstruction class. Initializes Libmv.

C++ default parameters

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

Implementors

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