39 3D Mesh Compression: Survey, Comparisons and Emerging Trends
39 3D mesh compression: survey, comparisons and emerging trends ADRIEN MAGLO, Visualink GUILLAUME LAVOUE´ , Universite´ de Lyon, CNRS, LIRIS, INSA-Lyon FLORENT DUPONT, Universite´ de Lyon, CNRS, LIRIS, Universite´ Lyon 1 CELINE´ HUDELOT, MAS Laboratory, Ecole´ Centrale Paris 3D meshes are commonly used to represent virtual surface and volumes. However, their raw data represen- tations take a large amount of space. Hence, 3D mesh compression has been an active research topic since the mid 90’s. In 2005, two very good review articles describing the pioneering works were published. Yet, new technologies have emerged since then. In this article, we summarize the early works and put the focus on these novel approaches. We classify and describe the algorithms, evaluate their performance and provide synthetic comparisons. We also outline the emerging trends for future researches. Categories and Subject Descriptors: E.4 [Data]: Coding And Information Theory General Terms: Algorithms, Performance, Theory, Experimentation. Additional Key Words and Phrases: 3D mesh, compression, single-rate, progressive, random accessible, dy- namic. ACM Reference Format: Adrien Maglo, Guillaume Lavoue,´ Florent Dupont, Celine´ Hudelot, 2013. 3D mesh compression: survey, comparisons and emerging trends. ACM Comput. Surv. 9, 4, Article 39 (September 2013), 40 pages. DOI:http://dx.doi.org/10.1145/0000000.0000000 1. INTRODUCTION 3D meshes may be considered to be the most popular discrete virtual surface and volume representation. Its simplicity makes it so popular today that electronic ships, called GPUs (Graphical Processing Units), partially specialized in the rendering of images from 3D meshes, are integrated in nearly all personal computers, tablets and smart phones.
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