Wavelet-based optimization of surface reconstruction

Abstract

By the development of artificial Intelligence – whether unintentionally – we are constantly trying to mimic the human senses. Biomimicry, as the starting point, is an engineering approach to emulate nature’s well working patterns and strategies. Our goal is to create a standalone artificial system which can respond adequately to various environmental impacts without human intervention. In order to detect these influences over the accuracy of human limitations, the most advanced sensors are needed both in software and hardware. The development in computing power highlights some forgotten algorithms, which were neglected because their complexity made them inefficient on early computers. One of these methods is the Wavelet-Transform Profilometry (WTP) of which successful application is demonstrated in this paper. WTP is a three-dimensional profilometric surface reconstruction algorithm in which orthogonal trajectories are used for high-level signal processing of huge datasets. Our goal was to find a high-precision solution for surface reconstruction by replacing the processing software with advanced mathematical methods rather than use more expensive optical systems.