Function opencv::sfm::reconstruct

pub fn reconstruct(
    images: &VectorOfString, 
    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 images while performing autocalibration.

Parameters

• images: a vector of string with the images paths.
• 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:

• 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.
• To see a working example for scene reconstruction, check the following tutorial: @ref tutorial_sfm_scene_reconstruction.

C++ default parameters

• is_projective: false