Function opencv::sfm::reconstruct_1

pub fn reconstruct_1(
    points2d: &dyn ToInputArray, 
    rs: &mut dyn ToOutputArray, 
    ts: &mut dyn ToOutputArray, 
    k: &mut dyn ToInputOutputArray, 
    points3d: &mut dyn ToOutputArray, 
    is_projective: bool
) -> Result<()>

Reconstruct 3d points from 2d correspondences while performing autocalibration.

Parameters

• points2d: Input vector of vectors of 2d points (the inner vector is per image).
• 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.
• K: Input/Output camera matrix . Input parameters used as initial guess.
• is_projective: if true, the cameras are supposed to be projective.

Internally calls libmv simple pipeline routine with some default parameters by instatiating SFMLibmvEuclideanReconstruction class.

Note:

• Tracks must be as precise as possible. It does not handle outliers and is very sensible to them.
• To see a working example for camera motion reconstruction, check the following tutorial: @ref tutorial_sfm_trajectory_estimation.

C++ default parameters

• is_projective: false