Remote scientific visualization of progressive 3D meshes with X3D

Maglo, Adrien; Lee, Ho; Lavoué, Guillaume; Mouton, Christophe; Hudelot, Céline; Dupont, Florent

doi:10.1145/1836049.1836066

Cited by 19 publications

(7 citation statements)

References 20 publications

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“…Some authors have proposed solutions for 3D data streaming; Di Benedetto et al [2010], in their JavaScript library SpiderGL (which leans upon WebGL), propose a structure for managing levels of details however it is only suited for adaptive rendering since no streaming or compressed format is associated. In the context of remote scientific visualization, Maglo et al [2010] propose a remote 3D data streaming framework based on a progressive compression algorithm; however they need a dedicated desktop client (Java and C++) to decompress the binary stream. A similar early version of this latter work was proposed by Chen and Nishita [2002] who consider an older and less efficient progressive compression scheme.…”

Section: Remote 3d Visualization On the Webmentioning

confidence: 99%

Streaming compressed 3D data on the web using JavaScript and WebGL

Lavoué

Chevalier²,

Dupont

2013

Proceedings of the 18th International Conference on 3D Web Technology

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With the development of Web3D technologies, the delivery and visualization of 3D models on the web is now possible and is bound to increase both in the industry and for the general public. However the interactive remote visualization of 3D graphic data in a web browser remains a challenging issue. Indeed, most of existing systems suffer from latency (due to the data downloading time) and lack of adaptation to heterogeneous networks and client devices (i.e. the lack of levels of details); these drawbacks seriously affect the quality of user experience. This paper presents a technical solution for streaming and visualization of compressed 3D data on the web. Our approach leans upon three strong features: (1) a dedicated progressive compression algorithm for 3D graphic data with colors producing a binary compressed format which allows a progressive decompression with several levels of details; (2) the introduction of a JavaScript halfedge data structure allowing complex geometrical and topological operations on a 3D mesh; (3) the multi-thread JavaScript / WebGL implementation of the decompression scheme allowing 3D data streaming in a web browser. Experiments and comparison with existing solutions show promising results in terms of latency, adaptability and quality of user experience.

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Section: Remote 3d Visualization On the Webmentioning

confidence: 99%

Streaming compressed 3D data on the web using JavaScript and WebGL

Lavoué

Chevalier²,

Dupont

2013

Proceedings of the 18th International Conference on 3D Web Technology

Self Cite

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“…past two decades, achieving impressive compression results and high-quality progressive reconstructions, such methods seem ideally suited for a common Web 3D format, for example by implementing them as extensions of the X3D standard [Fogel et al 2001;Maglo et al 2010]. Nevertheless, the surprising result illustrated in Table 1 is that the efficient implementation of Hoppe from 1998, using his original algorithm, still provides the fastest decompression.…”

Section: Related Formatsmentioning

confidence: 99%

Fast delivery of 3D web content

Limper

Wagner

Stein

et al. 2013

Proceedings of the 18th International Conference on 3D Web Technology

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Despite many advances in mesh compression methods within the past two decades, there is still no consensus about a standardized compact mesh encoding format for 3D Web applications. In order to facilitate the design of a future platform-independent solution, this paper investigates the crucial trade-off between compactness of the compressed representation and decompression time. Our case study evaluates different encoding formats, combined with various transmission bandwidths, using different client devices. Results indicate that good compression rates, and at the same time a fast decompression, can be achieved by exploiting existing browser features and by minimizing the complexity of operations that have to be performed inside the JavaScript layer. Our findings are summarized in concrete recommendations for future standards.

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“…Among already available approaches for static resolution mesh rendering [Di Benedetto et al 2010;Cabello 2010] and progressive approaches [Maglo et al 2010], we use the THREE.js framework, as it natively handles meshes encoded in the openCTM format [OpenCTM 2009]. When one wants to visualize a mesh which file encoding is different from openCTM, we perform a transparent conversion to the appropriate format.…”

Section: Mesh Renderingmentioning

confidence: 99%