Rubber Sheeting Algorithm

Inherent errors in the conversion process from maps to digital information cause variations in the location of common boundary lines between adjacent maps.

Rubber sheeting algorithm.

Corrects randomly deformed maps with reference to new maps provided with a grid of control points. The rubber sheeting process is defined by a linear spreading of the random corrections given at each point on the map perimeter. By the way the piecewise nonlinear rubber sheeting algorithm has been suggested by akima 1970 and akima 1978. Instead of the affine transformation this method employs the fifth order polynomial transformation with conditions such as continuity and smoothness of adjacent piecewise transformations.

For the geometric adaptation rubber sheeting algorithms have been proposed where in the simple case a vector field is calculated from some given object correspondences doytsher 2000. It achieves an ideal balance to create an all purpose weather resistant rubber. In order to eliminate these discrepancies and define a continuous database the popular practice is to. For each point the corrections are independent of other corrections on the x and y axes.

A rubber sheeting algorithm for non rectangular maps1 doytsher yerahmiel. The proposed system then evolved and achieved better performance in time. I am looking for a simple rubber sheeting algorithm to rectify images. Fig 1 daugman s rubber sheet model shows how a circular shape iris can be.

A procedure for adjusting the coordinates of all the data points in a dataset to allow a more accurate match between known locations and a few data points within the dataset. The purpose is to develop a simple tool to automatically rectify a large number of images using four corner coordinates known. The algorithm has four stages and resembles the spreading of soap bubbles limited by a polygonal ring changing its shape and size. A raster map file gives you the capability to adopt some sophisticated mathematical algorithms transformations which allow you to reach a precision up to 10 times more accurate than a manual inspection.

After a few years of scientific experiments daugman proposed and developed a high confidence iris recognition system and published the results in 1993 7. The corrections must be diminished based on two assumptions. For this reason epdm material is an excellent medium for outdoor uses.