Progressive Lossless Mesh Compression Via Incremental Parametric Refinement

Valette, Sébastien; Chaine, Raphaëlle; Prost, R.

doi:10.1111/j.1467-8659.2009.01507.x

Cited by 42 publications

(50 citation statements)

References 38 publications

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“…several hundreds of vertices) is very difficult to perceive because it causes a low-frequency geometric perturbation. Valette et al [VCP09] and Lee et al [LLD12] considered this principle and applied coarse-tofine quantisation precision in their progressive compression algorithm to improve the rate-distortion trade-off.…”

Section: Use Of Hvs Features For 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 Hvs Features For Mesh Compressionmentioning

confidence: 99%

Perceptual Metrics for Static and Dynamic Triangle Meshes

Corsini

Larabi

Lavoué

et al. 2013

Computer Graphics Forum

View full text Add to dashboard Cite

show abstract

“…In particular, [24] performs well in terms of compression ratio and R-D distortion, at the price of high compression and decompression times (3m for a mesh with 20,000 vertices). The approach of Valette et al [21] also provides very good results: the compression ratio are high and the R-D curve is excellent with the rabbit model, at the price of not guaranteeing the restoration of the initial connectivity. The octree coder [19] gives good compression rates but the distortion is high at low rates.…”

Section: Progressive Compression Of Triangle Meshesmentioning

confidence: 80%

“…Valette et al cast the progressive mesh compression problem as a mesh generation problem [21]. The algorithm starts from a coarse version of the initial mesh that is progressively refined using a Delaunay mesh generation approach.…”

Section: Improving the Rate-distortion Trade-offmentioning

confidence: 99%

Progressive compression of manifold polygon meshes

Maglo

Courbet

Alliez

et al. 2012

Computers & Graphics

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This paper presents a new algorithm for the progressive compression of manifold polygon meshes. The input surface is decimated by several traversals that generate successive levels of detail through a specific patch decimation operator which combines vertex removal and local remeshing. The mesh connectivity is encoded by two lists of Boolean error predictions based on the mesh geometry: one for the inserted edges and the other for the faces with a removed center vertex. The mesh geometry is encoded with a barycentric error prediction of the removed vertex coordinates and a local curvature prediction. We also include two methods that improve the rate-distortion performance: a wavelet formulation with a lifting scheme and an adaptive quantization technique. Experimental results demonstrate the effectiveness of our approach in terms of compression rates and rate-distortion performance.

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“…Further improvements in compression performance was obtained by grouping the individual increments in batches, each batch splitting half of the decoded vertices (Pajarola and Rossignac, 2000). (Peng and Kuo, 2005) and (Valette et al, 2009) present state-of-the-art codecs which allow for fine-grain vertex-by-vertex resolution control.…”

Section: Related Workmentioning

confidence: 99%

Rate-Distortion Optimized Wavelet-based Irregular Mesh Coding

Khalil

Munteanu

Lambert

2017

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Application

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Abstract:This work investigates the optimization of mesh quality at lossy rates for a lossless scalable wavelet-based irregular mesh codec. Whereas previously proposed wavelet-based irregular mesh codecs offer coarse-grain resolution scalability, in this paper we propose a coding scheme which enables fine-grain quality scalability. This is done by avoiding the use of geometric data in the encoding process, which reduces dependencies within the data stream and allows for an unrestricted storage and transmission order of wavelet subband bitplanes and connectivity information. This in turn allows us to perform rate-distortion optimization, whereby the subband bitplanes to be encoded are determined by minimizing distortion subject to an overall target bitrate. Experimental results show that the proposed coding approach offers fine-grain quality scalability, achieves optimality in rate-distortion sense and improves compression performance over the state of the art.

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Progressive Lossless Mesh Compression Via Incremental Parametric Refinement

Cited by 42 publications

References 38 publications

Perceptual Metrics for Static and Dynamic Triangle Meshes

Perceptual Metrics for Static and Dynamic Triangle Meshes

Progressive compression of manifold polygon meshes

Rate-Distortion Optimized Wavelet-based Irregular Mesh Coding

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