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  2. Coplanarity - Wikipedia

    en.wikipedia.org/wiki/Coplanarity

    In an n-dimensional space where n ≥ 3, a set of k points {, , …, } are coplanar if and only if the matrix of their relative differences, that is, the matrix whose columns (or rows) are the vectors , , …, is of rank 2 or less.

  3. Del in cylindrical and spherical coordinates - Wikipedia

    en.wikipedia.org/wiki/Del_in_cylindrical_and...

    This article uses the standard notation ISO 80000-2, which supersedes ISO 31-11, for spherical coordinates (other sources may reverse the definitions of θ and φ): . The polar angle is denoted by [,]: it is the angle between the z-axis and the radial vector connecting the origin to the point in question.

  4. Fundamental matrix (computer vision) - Wikipedia

    en.wikipedia.org/wiki/Fundamental_matrix...

    In computer vision, the fundamental matrix is a 3×3 matrix which relates corresponding points in stereo images.In epipolar geometry, with homogeneous image coordinates, x and x′, of corresponding points in a stereo image pair, Fx describes a line (an epipolar line) on which the corresponding point x′ on the other image must lie.

  5. Perspective-n-Point - Wikipedia

    en.wikipedia.org/wiki/Perspective-n-Point

    Perspective-n-Point [1] is the problem of estimating the pose of a calibrated camera given a set of n 3D points in the world and their corresponding 2D projections in the image. The camera pose consists of 6 degrees-of-freedom (DOF) which are made up of the rotation (roll, pitch, and yaw) and 3D translation of the camera with respect to the world.

  6. Collinearity - Wikipedia

    en.wikipedia.org/wiki/Collinearity

    Collinearity of points whose coordinates are given [ edit ] In coordinate geometry , in n -dimensional space, a set of three or more distinct points are collinear if and only if, the matrix of the coordinates of these vectors is of rank 1 or less.

  7. Parallel coordinates - Wikipedia

    en.wikipedia.org/wiki/Parallel_coordinates

    For example, a set of points on a line in n-space transforms to a set of polylines in parallel coordinates all intersecting at n − 1 points. For n = 2 this yields a point-line duality pointing out why the mathematical foundations of parallel coordinates are developed in the projective rather than euclidean space. A pair of lines intersects at ...

  8. Plücker coordinates - Wikipedia

    en.wikipedia.org/wiki/Plücker_coordinates

    Each Plücker coordinate appears in two of the four equations, each time multiplying a different variable; and as at least one of the coordinates is nonzero, we are guaranteed non-vacuous equations for two distinct planes intersecting in L. Thus the Plücker coordinates of a line determine that line uniquely, and the map α is an injection.

  9. Homography (computer vision) - Wikipedia

    en.wikipedia.org/wiki/Homography_(computer_vision)

    Includes Matlab Functions for calculating a homography and the fundamental matrix (computer vision). GIMP Tutorial – using the Perspective Tool by Billy Kerr on YouTube. Shows how to do a perspective transform using GIMP. Allan Jepson (2010) Planar Homographies from Department of Computer Science, University of Toronto. Includes 2D homography ...