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SILHOUETTE 4D: AN INTER-FRAME LOSSLESS geometry CODER OF DYNAMIC VOXELIZED POINT CLOUDS

SILHOUETTE 4D: AN INTER-FRAME LOSSLESS GEOMETRY CODER OF DYN...

引用

IEEE International Conference on Image Processing (ICIP)

作者： Peixoto, Eduardo Medeiros, Edil Ramalho, Evaristo Univ Brasilia Elect Engn Dept Brasilia DF Brazil

ISBN: (纸本)9781728163956

This paper presents a lossless inter geometry coder of voxelized point clouds. We build upon our previous work, extending the contexts used in the arithmetic coding to include voxels from a reference point cloud, hence the name, 4D contexts. We show that considering both 3D and 4D contexts leads to a substantial gain compared to considering each one on its own, and we also propose a fast decision method to avoid encoding each slice with both contexts. The proposed codec has the same complexity as our previous intra codec, but it shows an equal or superior performance for all point clouds tested. Results show that the proposed method outperforms all intra and inter state-of-the-art coders on the public available datasets tested.

关键词： point clouds lossless compression geometry coding inter frame coding

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Compressing polygon mesh geometry with parallelogram prediction

Compressing polygon mesh geometry with parallelogram predict...

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IEEE Visualization 2002 Conference

作者： Isenburg, M Alliez, P Univ N Carolina Chapel Hill NC 27514 USA

ISBN: (纸本)0780374983

In this paper we present a generalization of the geometry coder by Touma and Gotsman [34] to polygon meshes. We let the polygon information dictate where to apply the parallelogram rule that they use to predict vertex positions. Since polygons tend to be fairly planar and fairly convex, it is beneficial to make predictions within a polygon rather than across polygons. This, for example, avoids poor predictions due to a crease angle between polygons. Up to 90 percent of the vertices can be predicted this way. Our strategy improves geometry compression by 10 to 40 percent depending on (a) how polygonal the mesh is and (b) on the quality (planarity/convexity) of the polygons.

关键词： Mesh compression polygon meshes geometry coding linear prediction parallelogram rule.

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Integrated Learning-Based Point Cloud Compression for geometry and Color with Graph Fourier Transforms 45

Integrated Learning-Based Point Cloud Compression for Geomet...

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Applications of Digital Image Processing XLV

作者： Lazzarotto, Davi Ebrahimi, Touradj Ecole Polytech Fed Lausanne EPFL Multimedia Signal Proc Grp MMSPG Lausanne Switzerland

ISBN: (纸本)9781510654372;9781510654365

Point cloud representation is a popular modality to code immersive 3D contents. Several solutions and standards have been recently proposed in order to efficiently compress the large volume of data that point clouds require, in order to make them feasible for real-life applications. Recent studies adopting learning-based methods for point cloud compression have demonstrated high compression efficiency specially when compared to the conventional compression standards. However, they are mostly evaluated either on geometry or color separately, and few learning-based joint codecs have been proposed. In this paper, we propose an integrated learned coding architecture by joining a previously proposed geometry coding module based on three-dimensional convolutional layers with a color compression method relying on graph Fourier transform (GFT) using a learning-based mean and scale hyperprior to compress the obtained coefficients. Evaluation on a test set with dense point clouds shows that the proposed method outperforms G-PCC and achieves competitive performance with V-PCC when evaluated with state-of-the-art objective quality metrics.

关键词： Point cloud compression graph Fourier transform geometry coding color coding

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MULTI-SCALE END-TO-END LEARNING FOR POINT CLOUD geometry COMPRESSION 29

MULTI-SCALE END-TO-END LEARNING FOR POINT CLOUD GEOMETRY COM...

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IEEE International Conference on Image Processing (ICIP)

作者： Xu, Yiqun Yin, Qian Wang, Shanshe Zhang, Xinfeng Ma, Siwei Gao, Wen Chinese Acad Sci Inst Comp Technol Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Peking Univ Inst Comp Sci & Technol Beijing Peoples R China

ISBN: (数字)9781665496209

ISBN: (纸本)9781665496209

As 3D scanning devices and depth sensors advance, point clouds have attracted increasing attention as a format for 3D representation. Nevertheless, the tremendous amount of data in point clouds significantly burden transmission and storage. To address these problems, we propose a multi-scale end-to-end framework for point cloud geometry compression. Firstly, point transformer is used to extract the global feature of geometry information, embedding the geometry information and the relation among points. Secondly, the multi-scale neighbor embedding strategy is used to extract the level of details within multi-scale and multi-resolution feature of point clouds. Finally, to reconstruct the point cloud with high quality in the decoder, the local spatial information is restored via graph spatial extension based on local down-sampled features and global features. Experimental results show that we achieve around 34% bit rate reduction on average over competitive point cloud geometry compression methods.

关键词： point cloud compression multi-scale learning geometry coding point transformer auto encoder

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Triangle mesh compression along the Hamiltonian cycle

Triangle mesh compression along the Hamiltonian cycle

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Computer Graphics International (CGI) Conference

作者： Zhang, Jie Zheng, Changwen Hu, Xiaohui Chinese Acad Sci Inst Software Natl Key Lab Integrated Informat Syst Technol Beijing Peoples R China Chinese Acad Sci Grad Univ Beijing Peoples R China

This paper proposes a novel and efficient algorithm for single-rate compression of triangle meshes. The input mesh is traversed along its greedy Hamiltonian cycle in O(n) time. Based on the Hamiltonian cycle, the mesh connectivity can be encoded by a face label sequence with low entropy containing only four kinds of labels (HETS) and the transmission delay at the decoding end that frequently occurs in the conventional single-rate approaches is obviously reduced. The mesh geometry is compressed with a global coordinate concentration strategy and a novel local parallelogram error prediction scheme. Experiments on realistic 3D models demonstrate the effectiveness of our approach in terms of compression rates and run time performance compared to the leading single-rate and progressive mesh compression methods.

关键词： Triangle mesh Mesh compression Hamiltonian cycle Connectivity coding geometry coding Arithmetic coding

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Standardization Status of MPEG geometry-based Point Cloud Compression (G-PCC) Edition 2

Standardization Status of MPEG Geometry-based Point Cloud Co...

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Picture coding Symposium (PCS)

作者： Zhang, Wei Yang, Fuzheng Xu, Yingzhan Preda, Marius Xidian Univ Sch Telecommun Engn Xian Peoples R China Pengcheng Lab Shenzhen Peoples R China Bytedance Inc Beijing Peoples R China Inst Polytech Paris Telecom SudParis Paris France

ISBN: (纸本)9798350358483;9798350358490

Point clouds, crucial for representing 3D objects and scenes, offer immersive and precise depictions of the real world. Despite their superiority, the substantial data volume challenges current multimedia ecosystems. To address this, the Moving Picture Expert Group (MPEG) initiated the point cloud compression project in 2017, leading to two branches: Video-based Point Cloud Compression (V-PCC) and geometry-based Point Cloud Compression (G-PCC). The first edition of G-PCC was published in March 2023, and ongoing efforts over the past three years have advanced towards G-PCC Edition 2. This paper aims to present recent technical achievements and the current status of G-PCC standardization activities.

关键词： point cloud MPEG G-PCC geometry coding attribute coding

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Progressive representation, transmission, and visualization of 3D objects

Progressive representation, transmission, and visualization ...

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2nd Conference on Input/Output and Imaging Technologies

作者： Okuda, M Chen, TH Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)0819437190

Files containing 3D objects, typically represented as 3D meshes with certain geometry and texture information, are very large. Therefore, not only do 3D objects take a lot of storage space, it is also extremely time-consuming to transmit them over the network for visualization. In addition, most 3D visualization applications need the entire 3D data file to render the 3D object even though the user may be interested in only a small part or a low-resolution version of the object. Progressive coding of 3D objects can resolve these problems. In this paper, we report our recent progress in progressive representation, transmission, and visualization of 3D objects. In our scheme, both geometry and the texture of the 3D object are progressively coded and transmitted. More perceptually important information is transmitted before the less important information, which allows the user to stop the transmission at any time and yet retain the best available perceptual quality of the object at that time. Furthermore, the visible portion of the object is transmitted first and the non-visible portion is transmitted later, or not transmitted at all, in order to save the overall bandwidth.

关键词： 3D data 3D models 3D meshes geometry coding texture coding progressive coding progressive transmission streaming perceptual quality visualization

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MULTITHREADED ALGORITHMS FOR LOSSLESS INTRA COMPRESSION OF POINT CLOUD geometry BASED ON THE SILHOUETTE 3D CODER 30

MULTITHREADED ALGORITHMS FOR LOSSLESS INTRA COMPRESSION OF P...

引用

30th IEEE International Conference on Image Processing (ICIP)

作者： Komatsu, Otho T. Medeiros, Edil Alves, Lucas M. Peixoto, Eduardo Univ Brasilia Dept Elect Engn Brasilia Brazil

ISBN: (纸本)9781728198354

This paper evaluates a new implementation of our Silhouette 3D (S3D) coder for lossless compression of point cloud geometry, which yields up to 18% improvement on compression efficiency over our previously reported results. With this it offers competitive performance compared to the state-of-the-art MPEG G-PCC, outperforming it for some sequences. Additionally, we propose and analyze two multithreaded algorithms based on the S3D coder, namely S3D-Subtree (S3D-S) and S3D-Subtree + TopTree (S3D-ST). We evaluate the performance of these algorithms from 2 to 128 threads so that the user can select the best tradeoff for the desired application. As expected, parallelization decreases compression efficiency, but both S3D-S and S3D-ST show minor penalties for a small number of threads, and S3D-ST offers better compression efficiency when a larger number is used.

关键词： point clouds lossless compression geometry coding parallelization multithread algorithms

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Efficient compression and rendering of multi-resolution meshes 02

Efficient compression and rendering of multi-resolution mesh...

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Proceedings of the conference on Visualization '02

作者： Zachi Karni Alexander Bogomjakov Craig Gotsman Center for Graphics and Geometric Computing The Faculty of Computer Science Technion -- Israel Institute of Technology

ISBN: (纸本)9780780374980

We present a method to code the multiresolution structure of a 3D triangle mesh in a manner that allows progressive decoding and efficient rendering at a client machine. The code is based on a special ordering of the mesh vertices which has good locality and continuity properties, inducing a natural multiresolution structure. This ordering also incorporates information allowing efficient rendering of the mesh at all resolutions using the contemporary vertex buffer mechanism. The performance of our code is shown to be competitive with existing progressive mesh compression methods, while achieving superior rendering speed.

关键词： rendering wavelets geometry coding progressive compression

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Compressing polygon mesh geometry with parallelogram prediction 02

Compressing polygon mesh geometry with parallelogram predict...

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Proceedings of the conference on Visualization '02

作者： Martin Isenburg Pierre Alliez University of North Carolina at Chapel Hill INRIA Sophia-Antipolis

ISBN: (纸本)9780780374980

关键词： linear prediction polygon meshes parallelogram rule mesh compression geometry coding

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