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  2. PG (3,2) - Wikipedia

    en.wikipedia.org/wiki/PG(3,2)

    In finite geometry, PG(3, 2) is the smallest three-dimensional projective space. It can be thought of as an extension of the Fano plane. It has 15 points, 35 lines, and 15 planes. [1] It also has the following properties: [2] Each point is contained in 7 lines and 7 planes. Each line is contained in 3 planes and contains 3 points.

  3. Euclidean planes in three-dimensional space - Wikipedia

    en.wikipedia.org/wiki/Euclidean_planes_in_three...

    A suitable normal vector is given by the cross product = (), and the point r 0 can be taken to be any of the given points p 1, p 2 or p 3 [7] (or any other point in the plane). Operations [ edit ]

  4. 3D projection - Wikipedia

    en.wikipedia.org/wiki/3D_projection

    A 3D projection (or graphical projection) is a design technique used to display a three-dimensional (3D) object on a two-dimensional (2D) surface. These projections rely on visual perspective and aspect analysis to project a complex object for viewing capability on a simpler plane.

  5. Three-dimensional space - Wikipedia

    en.wikipedia.org/wiki/Three-dimensional_space

    In geometry, a three-dimensional space (3D space, 3-space or, rarely, tri-dimensional space) is a mathematical space in which three values (coordinates) are required to determine the position of a point. Most commonly, it is the three-dimensional Euclidean space, that is, the Euclidean space of dimension three, which models physical space.

  6. Planar projection - Wikipedia

    en.wikipedia.org/wiki/Planar_projection

    Planar projections are the subset of 3D graphical projections constructed by linearly mapping points in three-dimensional space to points on a two-dimensional projection plane. The projected point on the plane is chosen such that it is collinear with the corresponding three-dimensional point and the centre of projection .

  7. Triangulation (computer vision) - Wikipedia

    en.wikipedia.org/wiki/Triangulation_(computer...

    The triangulation problem is in principle trivial. Since each point in an image corresponds to a line in 3D space, all points on the line in 3D are projected to the point in the image. If a pair of corresponding points in two, or more images, can be found it must be the case that they are the projection of a common 3D point x.

  8. Projective plane - Wikipedia

    en.wikipedia.org/wiki/Projective_plane

    The Fano plane, discussed below, is denoted by PG(2, 2). The third example above is the projective plane PG(2, 3). The Fano plane. Points are shown as dots; lines are shown as lines or circles. The Fano plane is the projective plane arising from the field of two elements. It is the smallest projective plane, with only seven points and seven lines.

  9. Shear mapping - Wikipedia

    en.wikipedia.org/wiki/Shear_mapping

    In 3D space this matrix shear the YZ plane into the diagonal plane passing through these 3 points: (,,) (,,) (,,) = (). The determinant will always be 1, as no matter where the shear element is placed, it will be a member of a skew-diagonal that also contains zero elements (as all skew-diagonals have length at least two) hence its product will ...