Package boofcv.struct.geo


package boofcv.struct.geo
  • Class
    Description
    The observed location of a point feature in two camera views.
    The observed location of a feature in two camera views.
    The observed location of a conic feature in two camera views.
    Contains a set of three observations of the same point feature in three different views.
    Interface for arbitrary number of matched 2D features
    Associated set of Point2D_F64 for an arbitrary number of views which can be changed.
    Associated set of Point2D_F64 for an arbitrary number of views that is fixed.
    Geographic coordinate consisting of latitude (north-south coordinate) and longitude (west-east) .
    Geographic coordinate consisting of latitude (north-south coordinate) and longitude (west-east) .
    GeoModelEstimator1<Model,Sample>
    Creates a single hypothesis for the parameters in a model a set of sample points/observations.
    GeoModelEstimatorN<Model,Sample>
    Creates multiple hypotheses for the parameters in a model a set of sample points/observations.
    A pair of line observations found in two different images.
    Observed point feature location on the image plane and its 3D position.
    Observed point feature location on the image plane and its 3D homogenous position.
    PointIndex<T extends PointIndex<T,P>,P extends GeoTuple<P>>
    Base class for all PointIndex implementations.
    A 2D point with an index associated with it
    A 2D point with an index associated with it
    A 3D point with an index associated with it
    A 3D point with an index associated with it
    A 4D point with an index associated with it
    A 4D point with an index associated with it
    DogArray which will internally declare DMatrixRMaj of a specific shape.
    Motion model for scale and translation: (x',y') = (x,y)*scale + (tranX , tranY)
    Motion model for scale, translation, and rotation: (x',y') = (x,y)*R*scale + (tranX , tranY) R is rotation matrix.
    The trifocal tensor describes the projective relationship between three different camera views and is analogous to the Fundamental matrix for two views.