Hyperspace Diagonal Counting (HSDC) for Multidimensional Visualization

This technology describes a new mathematical technique to graphically visualize and present objects and shapes in hyperspaces, i.e., in extensions of space beyond the third dimension. Currently, these are visualized only as mathematical abstractions, although there have been attempts to capture and visualize the fourth and fifth dimensions by employing colors and shades. This invention enables a secure and mathematically precise method of using mathematical diagonal-counting techniques (devised by Cantor) to accurately correct information from every point in hyperspace related to the given object and then transpose them onto 2 or 3-dimensional space. Hyperspace objects can therefore be viewed as 2-D or 3-D objects.

Advantages in summary are:
c) n-D objects, shapes, data clusters, etc. can be seen in 2-D or 3-D format d) The method is exhaustive; it has infinite capacity to improve necessary approximations that need be made while employing this technique. Earlier methods create tr ansformed 2D/3D data in approximated forms that enable visualization only through more approximations.

While this technology deals with visualizing n-D optimal pareto-weighted frontiers, successful experiments have also been conducted to visualize multi-dimensional functions and n-D data clusters for use in data-mining. Besides these, numerous possible application exist in statistical analyses, the entertainment industry, etc. This invention also enables considerably better decision-making by making available parameters on a visual format.

Categories: Software and Media, Computer

Type of Offer: Licensing



Next Patent »
« More Computer Science Patents
« More Software Patents

Share on      


CrowdSell Your Patent