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§
fn as_raw_mut_SFMLibmvEuclideanReconstruction(&mut self) -> *mut c_void
Provided Methods§
sourcefn run(&mut self, points2d: &impl ToInputArray) -> Result<()>
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.
sourcefn 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_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 . 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.
sourcefn run_2(&mut self, images: &Vector<String>) -> Result<()>
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.
sourcefn 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 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 . 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.
sourcefn get_points(&mut self, points3d: &mut impl ToOutputArray) -> Result<()>
fn get_points(&mut self, points3d: &mut impl ToOutputArray) -> Result<()>
sourcefn get_cameras(
&mut self,
rs: &mut impl ToOutputArray,
ts: &mut impl ToOutputArray
) -> Result<()>
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.
sourcefn set_reconstruction_options(
&mut self,
libmv_reconstruction_options: libmv_ReconstructionOptions
) -> Result<()>
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.
sourcefn set_camera_intrinsic_options(
&mut self,
libmv_camera_intrinsics_options: libmv_CameraIntrinsicsOptions
) -> Result<()>
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.