NOVEL APPROACH TO COMPUTE GAUSSIAN CURVATURE DEVIATION USING REVERSE ENGINEERING TECHNIQUE

The current work presents a novel method which facilitates easy comparison of Gaussian curvature for a freeform surface created using reverse engineering technique with the CAD model. An algorithm is developed to compare pixel level encoded color of Gaussian curvature raster display images of CAD model and reverse engineered model to give percentage curvature deviation. A case study for comparison of CAD model with reverse engineered non-uniform rational B-spline (NURBS) model created from the point cloud obtained from a portable laser scanner is also presented. This method manifests the simple algorithm suited for estimating approximate deviations of curvature in comparative studies and can also be extended to compare zebra curvature analysis.