Trait opencv::sfm::SFMLibmvEuclideanReconstructionTrait

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pub trait SFMLibmvEuclideanReconstructionTrait: BaseSFMTrait + SFMLibmvEuclideanReconstructionTraitConst {
    // Required method
    fn as_raw_mut_SFMLibmvEuclideanReconstruction(&mut self) -> *mut c_void;

    // Provided methods
    fn run(&mut self, points2d: &impl ToInputArray) -> Result<()> { ... }
    fn run_1(
        &mut self,
        points2d: &impl ToInputArray,
        k: &mut impl ToInputOutputArray,
        rs: &mut impl ToOutputArray,
        ts: &mut impl ToOutputArray,
        points3d: &mut impl ToOutputArray
    ) -> Result<()> { ... }
    fn run_2(&mut self, images: &Vector<String>) -> Result<()> { ... }
    fn run_3(
        &mut self,
        images: &Vector<String>,
        k: &mut impl ToInputOutputArray,
        rs: &mut impl ToOutputArray,
        ts: &mut impl ToOutputArray,
        points3d: &mut impl ToOutputArray
    ) -> Result<()> { ... }
    fn get_points(&mut self, points3d: &mut impl ToOutputArray) -> Result<()> { ... }
    fn get_cameras(
        &mut self,
        rs: &mut impl ToOutputArray,
        ts: &mut impl 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<()> { ... }
}
Expand description

Mutable methods for crate::sfm::SFMLibmvEuclideanReconstruction

Required Methods§

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

Provided Methods§

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fn run(&mut self, points2d: &impl 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.
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fn run_1( &mut self, points2d: &impl ToInputArray, k: &mut impl ToInputOutputArray, rs: &mut impl ToOutputArray, ts: &mut impl ToOutputArray, points3d: &mut impl 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 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.
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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.
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fn run_3( &mut self, images: &Vector<String>, k: &mut impl ToInputOutputArray, rs: &mut impl ToOutputArray, ts: &mut impl ToOutputArray, points3d: &mut impl 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 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.
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fn get_points(&mut self, points3d: &mut impl ToOutputArray) -> Result<()>

Returns the estimated 3d points.

§Parameters
  • points3d: Output array with estimated 3d points.
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fn get_cameras( &mut self, rs: &mut impl ToOutputArray, ts: &mut impl 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.
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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.
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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.

Object Safety§

This trait is not object safe.

Implementors§