Crate dlt
for the Rust language
DLT (direct linear transform) algorithm for camera calibration
This is typically used for calibrating cameras and requires a minimum of 6 corresponding pairs of 2D and 3D locations.
To run the unit tests:
cargo test
Since the thumbv7em-none-eabihf
target does not have std
available, we
can build for it to check that our crate does not inadvertently pull in std.
The unit tests require std, so cannot be run on a no_std
platform. The
following will fail if a std dependency is present:
# install target with: "rustup target add thumbv7em-none-eabihf"
cargo build --no-default-features --target thumbv7em-none-eabihf
use dlt::{dlt_corresponding, CorrespondingPoint};
let points: Vec<CorrespondingPoint<f64>> = vec![
CorrespondingPoint {
object_point: [-1., -2., -3.],
image_point: [219.700, 39.400],
},
CorrespondingPoint {
object_point: [0., 0., 0.],
image_point: [320.000, 240.000],
},
CorrespondingPoint {
object_point: [1., 2., 3.],
image_point: [420.300, 440.600],
},
CorrespondingPoint {
object_point: [1.1, 2.2, 3.3],
image_point: [430.330, 460.660],
},
CorrespondingPoint {
object_point: [4., 5., 6.],
image_point: [720.600, 741.200],
},
CorrespondingPoint {
object_point: [4.4, 5.5, 6.6],
image_point: [760.660, 791.320],
},
CorrespondingPoint {
object_point: [7., 8., 9.],
image_point: [1020.900, 1041.800],
},
CorrespondingPoint {
object_point: [7.7, 8.8, 9.9],
image_point: [1090.990, 1121.980],
},
];
let pmat = dlt_corresponding(&points, 1e-10).unwrap();
// could now call `cam_geom::Camera::from_perspective_matrix(&pmat)`
You may also be interested in:
cam-geom
- Rust crate with 3D camera models which can use the calibration data from DLT.dlt-examples
- Unpublished crate in the dlt repository which demonstrates usage with cam-geom library.
The README.md
file can be regenerated with:
cargo readme > README.md
Anyone who interacts with this software in any space, including but not limited to this GitHub repository, must follow our code of conduct.
Licensed under either of these:
- Apache License, Version 2.0, (LICENSE-APACHE or https://www.apache.org/licenses/LICENSE-2.0)
- MIT license (LICENSE-MIT or https://opensource.org/licenses/MIT)