A fuzzy integrated genetic method for information persistent 3D to 2D graph transformation

摘要

An object representation of the open scene exists in the 3D form and to represent it on 2D plane or paper, reliable transformation is required. In this paper, a fuzzy rule integrated genetic modeling is provided for the 2D graph formation. The fuzzy rule definition is here applied on visibility, distance from the convex hull and cross point frequency. The population set for graph transformation is generated by setting the connecting vertex count. This population set is supplied to genetic process for early phase fitness formulation with length, distance and density parameters. While generating the new derived updated, the fuzzy rules are applied. This fuzzy rule is based on cross point and visibility distance observations. The experimental applies to multiple larger 3D graphs. The obtained results show that the model has provided the significant network generation in optimized time frame and provided the effective surface derivation.