Sparsity-based optimization of two lifting-based wavelet transforms for semi-regular mesh compression

Kammoun, Aymen; Payan, Frédéric; Antonini, Marc

doi:10.1016/j.cag.2012.02.004

Cited by 11 publications

(6 citation statements)

References 31 publications

(44 reference statements)

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“…Akram et al [34] provided a significant gain in memory space by progressively encoding during the acquisition, a 3D scan-based WT for semi-regular multiresolution mesh and proposing a new method for searching more quickly neighbors of each triangle in the GOT. In 2012, Kammoun et al [35] adapted the multiresolution analysis to semi-regular meshes by optimizing the prediction in the lifting schemes based on Butterfly and Loop filters. In Ta ble II, we give a brief overview of the bitrates obtained by the principal algorithms and our observations.…”

Section: B Progressive Algorithmsmentioning

confidence: 99%

Optimization techniques of static 3D triangular mesh compression: A survey

Hachicha

Elkefi

Amar

2015

2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)

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In the last decade, the extensive evolution of 3D graphic applications has induced developpers to enhance the 3D mesh compression techniques. Therefore, 3D models are compressed, transmitted and rendered more and more in real-time and with high quality. Moreover, many out-of core algorithms are proposed to process complex objects. In this paper, we review the major existing technologies for the single-rate and progressive 3D mesh compression. Then, representative out-of-core approaches are surveyed in details.Finally, we represent some parallel schemes exploiting the evolution of many-core GPU architecture.

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Section: B Progressive Algorithmsmentioning

confidence: 99%

Optimization techniques of static 3D triangular mesh compression: A survey

Hachicha

Elkefi

Amar

2015

2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)

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“…To improve the compression of normal meshes, Lavu et al [2003] locally optimized the quantization of the normal component based on values encoded previously in the neighborhood. Kammoun et al [2012] proposed optimizing the prediction scheme of lifting-based wavelet transforms (Butterfly and Loop). For each level of detail, the best parameters of the predictor are computed to minimize the set of detail coefficients.…”

Section: Wavelet For Semiregular Meshesmentioning

confidence: 99%

3D Mesh Compression

Maglo¹,

et al. 2015

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3D meshes are commonly used to represent virtual surface and volumes. However, their raw data representations take a large amount of space. Hence, 3D mesh compression has been an active research topic since the mid 1990s. 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 research.

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“…Under this framework, a given mesh is represented by a coarser mesh and a set of vectors, called Wavelet Coefficient Vectors (WCV), used for encoding the details. 3D wavelet analysis was used for various applications including filtering [16], mesh compression [17,18], subdivision [19], as well as information hiding [20,21,22,23,24,25]. A 3D wavelet-based watermarking algorithm was proposed by Kanai et al [20], which modifies the ratio between the norm of a WCV and the length of its support edge.…”

Section: Introductionmentioning

confidence: 99%

Steganalysis of meshes based on 3D wavelet multiresolution analysis

Borş

2020

Information Sciences

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3D steganalysis aims to find the information hidden in 3D models and graphical objects. It is assumed that the information was hidden by 3D steganography or watermarking algorithms. A new set of 3D steganalysis features, derived by using multiresolution 3D wavelet analysis, is proposed in this research study. 3D wavelets relate a given mesh representation with its lower and higher graph resolutions by means of a set of Wavelet Coefficient Vectors (WCVs). The 3D steganalysis features are derived from transformations between a given mesh and its corresponding higher and lower resolutions. They correspond to geometric measures such as ratios and angles between various geometric measures. These features are shown to significantly increase the steganalysis accuracy when detecting watermarks which have been embedded by 3D wavelet-based watermarking algorithms. The proposed features, when used in combination with a previously proposed feature set, is shown to provide the best results in detecting the hidden information embedded by other information hiding algorithms.

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Sparsity-based optimization of two lifting-based wavelet transforms for semi-regular mesh compression

Cited by 11 publications

References 31 publications

Optimization techniques of static 3D triangular mesh compression: A survey

Optimization techniques of static 3D triangular mesh compression: A survey

3D Mesh Compression

Steganalysis of meshes based on 3D wavelet multiresolution analysis

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