Struct eight_point::EightPoint

pub struct EightPoint {
    pub epsilon: f64,
    pub iterations: usize,
}

Performs the eight-point algorithm by Richard Hartley and Andrew Zisserman.

To recondition the matrix produced by estimation, see cv_core::EssentialMatrix::recondition.

Fields

epsilon: f64

iterations: usize

Methods

impl EightPoint

pub fn new() -> Self

Trait Implementations

impl Default for EightPoint

fn default() -> Self

Returns the "default value" for a type.

impl Estimator<FeatureMatch<NormalizedKeyPoint>> for EightPoint

type Model = EssentialMatrix

Model is the model which is estimated from the underlying data

type ModelIter = Option<EssentialMatrix>

Iterator over the models produced from the data.

const MIN_SAMPLES: usize

The minimum number of samples that the estimator can estimate a model from.

fn estimate<I>(&self, data: I) -> Self::ModelIter where
    I: Iterator<Item = FeatureMatch<NormalizedKeyPoint>> + Clone, 

Takes in an iterator over the data and produces a model that best fits the data.