SFMLibmvEuclideanReconstructionTrait

opencv::sfm::prelude

Trait SFMLibmvEuclideanReconstructionTrait 

Source 
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§

Source

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

Provided Methods§

Source

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.
Source

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.
Source

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.
Source

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.
Source

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

Returns the estimated 3d points.

§Parameters
  • points3d: Output array with estimated 3d points.
Source

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.
Source

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.
Source

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.

Dyn Compatibility§

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementors§