Coding of dynamic 3D meshes

Marvie, Jean-Eudes; Krivokuća, Maja; Graziosi, Danillo B.

doi:10.1016/b978-0-32-391755-1.00020-1

“…The final base mesh is generated by adjusting the 3D positions of the re-parameterized mesh to minimize the distance between the subdivided mesh and its displaced counterpart, in search of piecewise smooth surface reconstruction [4]. This process of decimation, subdivision, and finally vertex position adjustment is needed because the original input meshes usually do not have semi-regular connectivity [2], which is needed for predictable surface subdivision.…”

Section: Subdivision Wavelet Coefficients In V-dmcmentioning

confidence: 99%

Zerotree Coding of Subdivision Wavelet Coefficients in Dynamic Time-Varying Meshes

Krivokuca,

Malheiros Borges,

de Queiroz

2023

Preprint

0

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<p>We propose a complete system to enable progressive coding with quality scalability of the mesh geometry, in MPEG’s state-of-the-art Video-based Dynamic Mesh Coding (V-DMC) framework. In particular, we propose an alternative method for encoding the subdivision wavelet coefficients in V-DMC, using a mesh-based zerotree coding approach. The proposed method works directly in the native 3D mesh space. It allows us to identify parent-child relationships amongst the wavelet coefficients across different subdivision levels, which can be used to achieve an efficient and versatile coding mechanism. We demonstrate that, given a starting base mesh, a target subdivision surface and a desired maximum number of zerotree passes, our system produces an elegant and visually attractive lossy-to-lossless mesh geometry reconstruction with no further user intervention. Moreover, lossless coefficient encoding with our approach is shown to require almost the same bitrate as the default displacement coding methods in V-DMC. Yet, our approach provides several levels of quality resolution within each target bitrate, while the current solutions encode a single quality level only. To the best of our knowledge, this is the first time that a zerotree-based method has been proposed and demonstrated to work for the compression of dynamic time-varying meshes, and the first time that an embedded quality-scalable approach has been used in the V-DMC framework.</p>

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“…With the rapid development of information technology and the wide application of 3D-video-capture equipment, the compression and coding of dynamic 3D-mesh data have become a research hotspot in the field of 3D digital geometry media processing [8][9][10][11][12][13][14][15]. Timedependent 3D-mesh sequences are taken from dynamic 3D meshes that contain a significant amount of redundant information, similar to 2D-video image sequences [16,17].…”

Section: Related Workmentioning

confidence: 99%

A Method for Generating Geometric Image Sequences for Non-Isomorphic 3D-Mesh Sequence Compression

Gao

¹

,

Wang

²

,

Wen

³

2023

Electronics

0

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As virtual reality and 3D-modeling technology continue to advance, the amount of digital geometric media data is growing at an explosive rate. For example, 3D meshes, an important type of digital geometric media, can precisely record geometric information on a model’s surface. However, as the complexity and precision of 3D meshes increase, it becomes more challenging to store and transmit them. The traditional method of compressing non-isomorphic 3D-mesh sequences through frame-by-frame compression is inefficient and destroys the inter-frame correlations of the sequences. To tackle these issues, this study investigates the generation of time-dependent geometric image sequences for compressing non-isomorphic 3D-mesh sequences. Two methods are proposed for generating such sequences: one through image registration and the other through parametrization-geometry cooperative registration. Based on the experimental compression results of the video-coding algorithms, it was observed that the proposed geometric image-sequence-generation method offers superior objective and subjective qualities, as compared to the traditional method.

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Zerotree Coding of Subdivision Wavelet Coefficients in Dynamic Time-Varying Meshes

Krivokuca,

Malheiros Borges,

de Queiroz

2023

Preprint

0

View full text Add to dashboard Cite

<p>We propose a complete system to enable progressive coding with quality scalability of the mesh geometry, in MPEG’s state-of-the-art Video-based Dynamic Mesh Coding (V-DMC) framework. In particular, we propose an alternative method for encoding the subdivision wavelet coefficients in V-DMC, using a mesh-based zerotree coding approach. The proposed method works directly in the native 3D mesh space. It allows us to identify parent-child relationships amongst the wavelet coefficients across different subdivision levels, which can be used to achieve an efficient and versatile coding mechanism. We demonstrate that, given a starting base mesh, a target subdivision surface and a desired maximum number of zerotree passes, our system produces an elegant and visually attractive lossy-to-lossless mesh geometry reconstruction with no further user intervention. Moreover, lossless coefficient encoding with our approach is shown to require almost the same bitrate as the default displacement coding methods in V-DMC. Yet, our approach provides several levels of quality resolution within each target bitrate, while the current solutions encode a single quality level only. To the best of our knowledge, this is the first time that a zerotree-based method has been proposed and demonstrated to work for the compression of dynamic time-varying meshes, and the first time that an embedded quality-scalable approach has been used in the V-DMC framework.</p>

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Coding of dynamic 3D meshes

Cited by 3 publications

References 62 publications

Zerotree Coding of Subdivision Wavelet Coefficients in Dynamic Time-Varying Meshes

Zerotree Coding of Subdivision Wavelet Coefficients in Dynamic Time-Varying Meshes

A Method for Generating Geometric Image Sequences for Non-Isomorphic 3D-Mesh Sequence Compression

Zerotree Coding of Subdivision Wavelet Coefficients in Dynamic Time-Varying Meshes

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