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  2. 3D reconstruction from multiple images - Wikipedia

    en.wikipedia.org/wiki/3D_Reconstruction_from...

    It is the reverse process of obtaining 2D images from 3D scenes. The essence of an image is a projection from a 3D scene onto a 2D plane, during which process the depth is lost. The 3D point corresponding to a specific image point is constrained to be on the line of sight.

  3. Camera matrix - Wikipedia

    en.wikipedia.org/wiki/Camera_matrix

    The camera matrix derived in the previous section has a null space which is spanned by the vector = This is also the homogeneous representation of the 3D point which has coordinates (0,0,0), that is, the "camera center" (aka the entrance pupil; the position of the pinhole of a pinhole camera) is at O.

  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. Graphics pipeline - Wikipedia

    en.wikipedia.org/wiki/Graphics_pipeline

    The 3D projection step transforms the view volume into a cube with the corner point coordinates (-1, -1, 0) and (1, 1, 1); Occasionally other target volumes are also used. This step is called projection , even though it transforms a volume into another volume, since the resulting Z coordinates are not stored in the image, but are only used in Z ...

  6. Pinhole camera model - Wikipedia

    en.wikipedia.org/wiki/Pinhole_camera_model

    The mapping from 3D coordinates of points in space to 2D image coordinates can also be represented in homogeneous coordinates. Let x {\displaystyle \mathbf {x} } be a representation of a 3D point in homogeneous coordinates (a 4-dimensional vector), and let y {\displaystyle \mathbf {y} } be a representation of the image of this point in the ...

  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. Isometric projection - Wikipedia

    en.wikipedia.org/wiki/Isometric_projection

    The isometric transform from a point a x,y,z in 3D space to a point b x,y in 2D space looking into the first octant can be written mathematically with rotation matrices as: [] = [⁡ ⁡ ⁡ ⁡] [⁡ ⁡ ⁡ ⁡] [] = [] []

  9. Epipolar geometry - Wikipedia

    en.wikipedia.org/wiki/Epipolar_geometry

    X represents the point of interest in both cameras. Points x L and x R are the projections of point X onto the image planes. Epipolar geometry. Each camera captures a 2D image of the 3D world. This conversion from 3D to 2D is referred to as a perspective projection and is described by the pinhole camera model. It is common to model this ...