Comparison of methods and tools for generating levels of details of 3D models for popular game engines

Michał Tomecki

michal.tomecki@pollub.edu.pl
Student (Poland)

Abstract

Computer games have come a long way since their inception using increasingly advanced graphics. With so many models present on the screen at the same time, simplified models are needed that will be replaced when they are further away from the camera in the game. The aim of the study was to compare the tool for automatic generation of model detail levels in Unity and Unreal Engine. The article presents the results of the equipment load test and the time needed for generation, as well as a survey checking the opinion of people.

Supporting Agencies

Department of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland

Keywords:

LOD, 3D models

P. Glancey, The Complete History of Computer and Video Games. EMAP IMAGES 1996.
  Google Scholar

A. Okita, Learning C# Programming with Unity 3D, Wyd. CRC Press Taylor & Francis Group, Nowy Jork 2015.
DOI: https://doi.org/10.1201/b17277   Google Scholar

Wszystkie potrzebne informacje o blueprintach dostępnych w Unreal Engine, https://docs.unrealengine.com/en-US/Engine/Blueprints/index.html [06.09.2020].
  Google Scholar

Krótkie wyjaśnienie Level of Details oraz spsosób ich tworzenia w Unreal Engine, https://docs.unrealengine.com/en-US/Engine/Content/Types/StaticMeshes/HowTo/LODs/index.html[06.09.2020].
  Google Scholar

T. Norton, Learning C# by Developing Games with Unity 3D Beginner’s Guide, Wyd. Packt Publishing, Birmingham 2013.
  Google Scholar

W. Goldstone, Unity Game Development Essentials, Wyd. Packt Publishing, Birmingham 2009.
  Google Scholar

A. Cookson, R. DowlingSoka, C. Crumpler, Unreal Engine w 24 godziny. Nauka tworzenia gier. Helion 2016.
  Google Scholar

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Published
2020-12-30

Cited by

Tomecki, M. (2020). Comparison of methods and tools for generating levels of details of 3D models for popular game engines. Journal of Computer Sciences Institute, 17, 412–416. https://doi.org/10.35784/jcsi.2282

Authors

Michał Tomecki 
michal.tomecki@pollub.edu.pl
Student Poland

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