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Projection mapping, similar to video mapping and spatial augmented reality, is a projection technique [1] [2] used to turn objects, often irregularly shaped, into display surfaces for video projection. The objects may be complex industrial landscapes, such as buildings, small indoor objects, or theatrical stages.
A normal cylindrical projection is any projection in which meridians are mapped to equally spaced vertical lines and circles of latitude (parallels) are mapped to horizontal lines. The mapping of meridians to vertical lines can be visualized by imagining a cylinder whose axis coincides with the Earth's axis of rotation.
Arithmetic mean of the equirectangular projection and the Aitoff projection. Standard world projection for the NGS since 1998. 1904 Van der Grinten: Pseudoconic Compromise Alphons J. van der Grinten: Boundary is a circle. All parallels and meridians are circular arcs. Usually clipped near 80°N/S. Standard world projection of the NGS in 1922 ...
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.
A 360 video projection is any of many ways to map a spherical field of view to a flat image. It is used to encode and deliver the effect of a spherical, 360-degree image to viewers such as needed for 360-degree videos and for virtual reality .
File:{Country name in English} (orthographic projection).svg; Or possibly File:{ISO 3-letter Country code} orthographic.svg; Further needs: Dimensions: 550x550 pixels. Border of the globe: 1.5 pixels. Latitude/longitude grid:.3 pixels in black with 77 in the transparency value. Coasts and borders of countries:.3 pixels. Legend: not needed.
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Cube mapping is preferred over other methods of environment mapping because of its relative simplicity. Also, cube mapping produces results that are similar to those obtained by ray tracing, but is much more computationally efficient – the moderate reduction in quality is compensated for by large gains in efficiency.
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