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Journal of Engineering and Applied Sciences
Year: 2019 | Volume: 14 | Issue: 1 SI | Page No.: 3934-3937
DOI: 10.36478/jeasci.2019.3934.3937  
A Study on Compression of 3D Model Data and Optimization of Website
Geonhee Lee , Seunghyun Lee and Soonchul Kwon
 
Abstract: Since, the invention of the web has made many advances. A lot of research has been done in the graphics field. As a result, a GPU was created inside the browser to render graphics on the web. The way to run the GPU is to use an API called Web Graphics Library (WebGL). But WebGL for implementing graphics on the web is difficult to use. So, Three.js was developed to make WebGL easy to use. It is a 3D graphics JavaScript library that has the advantage of being easy to use WebGL. However, it can also be a problem after web graphics are easily configured using Three.js. Sometimes it takes too much time to load on your website. The reason is that the size of the 3D Model data such as OBJ is too large or the source code that constitutes it is not optimized. To solve this problem, it is necessary to compress 3D Model data files such as OBJ and source code. OBJimg.js is a compression method of 3D Model data. OBJ and MTL files into a single PNG image, resulting in about 70% storage saving. The best way to optimize the source code is to use gulp.js, CDN, JavaScript and CSS compression techniques. In this study, we propose the quantitative analysis on compression of the 3D Model data and optimization of the loading time of the website. This research is expected to be helpful for the compression of 3D Model data and the optimization of the website.
 
How to cite this article:
Geonhee Lee, Seunghyun Lee and Soonchul Kwon, 2019. A Study on Compression of 3D Model Data and Optimization of Website. Journal of Engineering and Applied Sciences, 14: 3934-3937.
DOI: 10.36478/jeasci.2019.3934.3937
URL: http://medwelljournals.com/abstract/?doi=jeasci.2019.3934.3937