Reverse Engineering on Planar Contours: An Algorithmic Review

Abstract

Reverse Engineering on image contours plays a significant role in data reduction, transformation and deformation of shapes without the loss of reasonable quality. The mathematical basis of captured

contours are used in various applied areas such as facial model- ing, animations, real time image processing applications, automatic

sketching, shape matching, capturing hand drawn images and de- signing civil engineering, bio-medical and mechanical engineering

objects etc. The authors do hope that this article can effectively provides algorithmic review for approximating outlines of planar images. Furthermore, it offers a sound analysis of pros and cons

of specified techniques. It also delivers enhancements and opti- mizations via exploring the weaknesses of existing algorithms and

attacking them through hybrid solutions.