The rubber sheeting process is defined by a linear spreading of the random corrections given at each point on the map perimeter.
Rubber sheeting algorithm.
The sources of data are vectorized maps from adjacent scanned sheets not necessarily of the same scale or with the same accuracy which will be part of a future geographical information system gis database.
The proposed system then evolved and achieved better performance in time.
Epdm sheet rubber is a versatile blended sheet epdm sheet rubber is a versatile blended sheet composed of ethylene propylene diene monomer and styrene butadiene rubber.
I am looking for a simple rubber sheeting algorithm to rectify images.
Instead of the affine transformation this method employs the fifth order polynomial transformation with conditions such as continuity and smoothness of adjacent piecewise transformations.
Rubber sheeting preserves the interconnectivity between points and objects through stretching shrinking or reorienting their interconnecting lines.
The algorithm has four stages and resembles the spreading of soap bubbles limited by a polygonal ring changing its shape and size.
The corrections must be diminished based on two assumptions.
For each point the corrections are independent of other corrections on the x and y axes.
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.
Inherent errors in the conversion process from maps to digital information cause variations in the location of common boundary lines between adjacent maps.
By the way the piecewise nonlinear rubber sheeting algorithm has been suggested by akima 1970 and akima 1978.
In order to eliminate these discrepancies and define a continuous database the popular practice is to.
For this reason epdm material is an excellent medium for outdoor uses.
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.
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 purpose is to develop a simple tool to automatically rectify a large number of images using four corner coordinates known.
Fig 1 daugman s rubber sheet model shows how a circular shape iris can be.
It achieves an ideal balance to create an all purpose weather resistant rubber.
