Open AccessAn Introductory Review to Surface Reconstruction
Author(s) -
Chee Yew Tung,
Roselina Sallehuddin,
Habibollah Haron,
Aleksandr Malyshev
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/864/1/012052
Subject(s) - surface reconstruction , process (computing) , computer science , surface (topology) , object (grammar) , iterative reconstruction , laser scanning , scanner , 3d reconstruction , artificial intelligence , computer vision , mathematics , laser , geometry , physics , optics , operating system
Surface reconstruction can be defined as the process of data retrieval via scanning of the object with certain device such as laser scanner and etc. as well as the process of reconstructing the object using the retrieved data. The process of surface reconstruction begins with the type of input data being collected. The types of input data can be unstructured or structured. Artefacts can be defined as the properties of the data retrieved and they indirectly affect the output obtained at the end of surface reconstruction. The different types of input data can be treated by selecting different methods for the process of surface reconstruction. These methods basically fall under the categories of implicit surface, explicit surface and lastly soft computing methods. However, each of these methods for the process of surface reconstruction had their own advantages and disadvantages but they are not discussed thoroughly here. The selection of methods for surface reconstruction lies solely in the interest of studies for other researchers as each method for the process of surface reconstruction can be explored and researched upon viably. This paper highlights a brief introduction and review on previous researches with the aim of providing basic knowledge involved in the process of surface reconstruction.