[−][src]Function opencv::sfm::reconstruct_1
pub fn reconstruct_1(
images: &VectorOfString,
ps: &mut dyn ToOutputArray,
points3d: &mut dyn ToOutputArray,
k: &mut dyn ToInputOutputArray,
is_projective: bool
) -> Result<()>
Reconstruct 3d points from 2d images while performing autocalibration.
Parameters
- images: a vector of string with the images paths.
- Ps: Output vector with the 3x4 projections matrices of each image.
- 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.
This method calls below signature and extracts projection matrices from estimated K, R and t.
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.
C++ default parameters
- is_projective: false