Surface reconstruction with Wavelet transformation

Balla, Petra; Kocsis, Péter; Eigner, György; Antal, Ákos

doi:10.1109/ines.2016.7555120

Cited by 1 publication

(1 citation statement)

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“…The method evolved since then and its use of scale became wider, making it possible to be able to reconstruct three-dimensional surfaces with it. In this paper, you can read a short presentation of the field of structured light techniques and profilometry, then Fourier-and Wavelettransformations are presented as a sequel to our former research [4]. After, the main part Wavelet-transformation profilometry, the laboratory tests, the functional tests and the results will be presented.…”

Section: Introductionmentioning

confidence: 99%

Wavelet-based Optimization of Surface Reconstruction

Kocsis¹,

Balla²,

Antal³

2018

ACTA POLYTECH HUNG

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By the development of artificial Intelligencewhether unintentionallywe 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.

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Section: Introductionmentioning

confidence: 99%