Robust and Scalable Transmission of Arbitrary 3D Models over Wireless Networks

Cheng, Irene; Ying, Lihang; Daniilidis, Kostas; Basu, Anup

doi:10.1155/2008/890482

Cited by 6 publications

(3 citation statements)

References 50 publications

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“…They then generalise this approach to irregular meshes [CYDB08]; the main idea is to distribute adjacent vertices into separate packets, so that packet loss does not result in a big gap, hence making possible a satisfactory interpolation.…”

Section: Use Of Perceptual Metrics To Drive Mesh Compressionmentioning

confidence: 99%

Perceptual Metrics for Static and Dynamic Triangle Meshes

Corsini

Larabi

Lavoué

et al. 2013

Computer Graphics Forum

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Almost all mesh processing procedures cause some more or less visible changes in the appearance of objects represented by polygonal meshes. In many cases, such as mesh watermarking, simplification or lossy compression, the objective is to make the change in appearance negligible, or as small as possible, given some other constraints. Measuring the amount of distortion requires taking into account the final purpose of the data. In many applications, the final consumer of the data is a human observer, and therefore the perceptibility of the introduced appearance change by a human observer should be the criterion that is taken into account when designing and configuring the processing algorithms. In this review, we discuss the existing comparison metrics for static and dynamic (animated) triangle meshes. We describe the concepts used in perception-oriented metrics used for 2D image comparison, and we show how these concepts are employed in existing 3D mesh metrics. We describe the character of subjective data used for evaluation of mesh metrics and provide comparison results identifying the advantages and drawbacks of each method. Finally, we also discuss employing the perception-correlated metrics in perception-oriented mesh processing algorithms.

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Section: Use Of Perceptual Metrics To Drive Mesh Compressionmentioning

confidence: 99%

Perceptual Metrics for Static and Dynamic Triangle Meshes

Corsini

Larabi

Lavoué

et al. 2013

Computer Graphics Forum

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“…However, for real 3D graphical applications over unreliable network, besides the coding bit budget, we are concerned with mesh reconstruction at data loss in the network. As such, works [3,4,5,6] have been proposed which investigate 3D model transmission in combination with compression and/or rendering.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of 3D Model Transmission Strategies over Unreliable Network

Liu

Huang

2013

AMR

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Three-dimensional models are being used in more and more applications. Although the ever increasing computing power of personal computers has been providing strong support to these applications, unreliable network is still a restricting factor, especially for mobile applications. As such, we in this work study several different broad strategies for 3D model transmission over unreliable network and comparatively analyze the advantages and disadvantages of each strategy. On one hand, this comparative study can guide the selection of an appropriate strategy for concrete applications; on the other, it provides a starting point for deeper investigation in robust and efficient 3D mesh transmission over unreliable network.

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“…In [5], [6], transmission of 3D objects represented by texture and mesh over unreliable networks is described. For arbitrary meshes, stripification of the mesh and distributing nearby vertices into different packets are considered, combined with a strategy that does not need texture or mesh packets to be retransmitted, with the exception that only the valence (connectivity) packets need to be retransmitted.…”

Section: Introductionmentioning

confidence: 99%

Joint source-channel coding for error resilient transmission of static 3D models

Bici¹,

Norkin²,

Akar³

2012

Turkish Journal of Electrical Engineering and Computer Sciences

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In this paper, performance analysis of joint source-channel coding techniques for error-resilient transmission of three dimensional (3D) models are presented. In particular, packet based transmission scenarios are analyzed. The packet loss resilient methods are classified into two groups according to progressive compression schemes employed: Compressed Progressive Meshes (CPM) based methods and wavelet based methods.In the first group, layers of CPM algorithm are protected unequally by Forward Error Correction (FEC) using Reed Solomon (RS) codes. In the second group, embedded bitstream obtained from wavelet based coding is protected unequally with FEC as well. Both groups of methods are scalable with respect to both channel bandwidth and packet loss rate, i.e. they try to optimize FEC assignments with respect to channel bandwidth and packet loss rates (PLR). In-depth analysis of these techniques are carried out in terms of complexity, robustness to losses and compression efficiency. Experimental results show that wavelet based methods achieve considerably better quality compared to CPM based methods.

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Robust and Scalable Transmission of Arbitrary 3D Models over Wireless Networks

Cited by 6 publications

References 50 publications

Perceptual Metrics for Static and Dynamic Triangle Meshes

Perceptual Metrics for Static and Dynamic Triangle Meshes

Comparative Study of 3D Model Transmission Strategies over Unreliable Network

Joint source-channel coding for error resilient transmission of static 3D models

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