Gotowa bibliografia na temat „3D geometry compression”
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Artykuły w czasopismach na temat "3D geometry compression"
Gao, Yuan, Zhiqiang Wang i Jin Wen. "A Method for Generating Geometric Image Sequences for Non-Isomorphic 3D-Mesh Sequence Compression". Electronics 12, nr 16 (16.08.2023): 3473. http://dx.doi.org/10.3390/electronics12163473.
Pełny tekst źródłaGuéziec, André, i Gabriel Taubin. "Multi-Resolution Modeling and 3D Geometry Compression". Computational Geometry 14, nr 1-3 (listopad 1999): 1–3. http://dx.doi.org/10.1016/s0925-7721(99)00033-4.
Pełny tekst źródłaFinley, Matthew G., i Tyler Bell. "Depth range reduction for 3D range geometry compression". Optics and Lasers in Engineering 138 (marzec 2021): 106457. http://dx.doi.org/10.1016/j.optlaseng.2020.106457.
Pełny tekst źródłaHuang, Tianxin, Jiangning Zhang, Jun Chen, Zhonggan Ding, Ying Tai, Zhenyu Zhang, Chengjie Wang i Yong Liu. "3QNet". ACM Transactions on Graphics 41, nr 6 (30.11.2022): 1–13. http://dx.doi.org/10.1145/3550454.3555481.
Pełny tekst źródłaFinley, Matthew G., i Tyler Bell. "Two-Channel 3D Range Geometry Compression with Virtual Plane Encoding". Electronic Imaging 2021, nr 18 (18.01.2021): 61–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.18.3dia-061.
Pełny tekst źródłaZhuang, Lehui, Jin Tian, Yujin Zhang i Zhijun Fang. "Variable Rate Point Cloud Geometry Compression Method". Sensors 23, nr 12 (9.06.2023): 5474. http://dx.doi.org/10.3390/s23125474.
Pełny tekst źródłaSchwartz, Broderick S., i Tyler Bell. "Downsampled depth encoding for enhanced 3D range geometry compression". Applied Optics 61, nr 6 (17.02.2022): 1559. http://dx.doi.org/10.1364/ao.445800.
Pełny tekst źródłaLiu, Yongkui, Lijun He, Pengjie Wang, Linghua Li i Borut Žalik. "Lossless Geometry Compression Through Changing 3D Coordinates into 1D". International Journal of Advanced Robotic Systems 10, nr 8 (styczeń 2013): 308. http://dx.doi.org/10.5772/56657.
Pełny tekst źródłaFinley, Matthew G., i Tyler Bell. "Variable Precision Depth Encoding for 3D Range Geometry Compression". Electronic Imaging 2020, nr 17 (26.01.2020): 34–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.17.3dmp-034.
Pełny tekst źródłaFinley, Matthew G., Jacob Y. Nishimura i Tyler Bell. "Variable precision depth encoding for 3D range geometry compression". Applied Optics 59, nr 17 (10.06.2020): 5290. http://dx.doi.org/10.1364/ao.389913.
Pełny tekst źródłaRozprawy doktorskie na temat "3D geometry compression"
Cao, Chao. "Compression d'objets 3D représentés par nuages de points". Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAS015.
Pełny tekst źródłaWith the rapid growth of multimedia content, 3D objects are becoming more and more popular. Most of the time, they are modeled as complex polygonal meshes or dense point clouds, providing immersive experiences in different industrial and consumer multimedia applications. The point cloud, which is easier to acquire than mesh and is widely applicable, has raised many interests in both the academic and commercial worlds.A point cloud is a set of points with different properties such as their geometrical locations and the associated attributes (e.g., color, material properties, etc.). The number of the points within a point cloud can range from a thousand, to constitute simple 3D objects, up to billions, to realistically represent complex 3D scenes. Such huge amounts of data bring great technological challenges in terms of transmission, processing, and storage of point clouds.In recent years, numerous research works focused their efforts on the compression of meshes, while less was addressed for point clouds. We have identified two main approaches in the literature: a purely geometric one based on octree decomposition, and a hybrid one based on both geometry and video coding. The first approach can provide accurate 3D geometry information but contains weak temporal consistency. The second one can efficiently remove the temporal redundancy yet a decrease of geometrical precision can be observed after the projection. Thus, the tradeoff between compression efficiency and accurate prediction needs to be optimized.We focused on exploring the temporal correlations between dynamic dense point clouds. We proposed different approaches to improve the compression performance of the MPEG (Moving Picture Experts Group) V-PCC (Video-based Point Cloud Compression) test model, which provides state-of-the-art compression on dynamic dense point clouds.First, an octree-based adaptive segmentation is proposed to cluster the points with different motion amplitudes into 3D cubes. Then, motion estimation is applied to these cubes using affine transformation. Gains in terms of rate-distortion (RD) performance have been observed in sequences with relatively low motion amplitudes. However, the cost of building an octree for the dense point cloud remains expensive while the resulting octree structures contain poor temporal consistency for the sequences with higher motion amplitudes.An anatomical structure is then proposed to model the motion of the point clouds representing humanoids more inherently. With the help of 2D pose estimation tools, the motion is estimated from 14 anatomical segments using affine transformation.Moreover, we propose a novel solution for color prediction and discuss the residual coding from prediction. It is shown that instead of encoding redundant texture information, it is more valuable to code the residuals, which leads to a better RD performance.Although our contributions have improved the performances of the V-PCC test models, the temporal compression of dynamic point clouds remains a highly challenging task. Due to the limitations of the current acquisition technology, the acquired point clouds can be noisy in both geometry and attribute domains, which makes it challenging to achieve accurate motion estimation. In future studies, the technologies used for 3D meshes may be exploited and adapted to provide temporal-consistent connectivity information between dynamic 3D point clouds
Dang, Quoc Viet. "Similarités dans des Modèles BRep Paramétriques : Détection et Applications". Phd thesis, Toulouse, INPT, 2014. http://oatao.univ-toulouse.fr/12154/1/Dang_quoc_viet.pdf.
Pełny tekst źródłaSong, Mengli. "Effectiveness of steel bars in reinforced masonry walls under concentric compression". Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/132724/1/Mengli_Song_Thesis.pdf.
Pełny tekst źródłaLo, Kun-Sung, i 羅坤松. "A Study on Real Time Compression for 3D Geometry Objects". Thesis, 1999. http://ndltd.ncl.edu.tw/handle/33121192704752829269.
Pełny tekst źródła中原大學
資訊工程學系
87
Recently, the applications for the combination of virtual reality and multimedia technique are popular, such as the architectural walkthroughs. For these 3D (three dimension) geometry objects, they almost are large datasets. However, the performance of transmission is not satisfactory due to the limitation of bandwidth of current networks. In addition, the real-time graphics hardware is facing a large memory bus bandwidth bottleneck in which the amount of 3D geometry objects cannot be sent fast enough to the graphics pipeline interface. Base on the above reasons, if these geometry objects can be transmitted on networks in compressed format, the transmission time will be reduced greatly. Similarly, the geometry object can be stored in main memory in compressed format. Upon rendering in graphics pipeline interface, the compressed geometry data is sent to the rendering hardware for real-time decompression using an efficient hardware decompressor. Although the geometry compression/decompression technique can solve the memory bus bandwidth bottleneck, the proof of run time is important in real-time qualification. The idea of our algorithm is that one edge can connect to two new vertices to form two contiguous triangles. Furthermore, the idea of homocentric circle is added and these triangles of geometry objects can be represented by the binary tree structure. We can encode the binary tree to linear structure moderately. Such solutions can record the triangle information completely, and less storage space is needed on main memory. We only need a queue to perform the compression and decompression operations. The processes are fast enough for real-time applications. We present the geometry compression/decompression algorithm that has better compression ratios and run time than local meshify algorithm. We have tried our optimized geometry compressor on several datasets. It achieves compression ratios of 12 to 15 times over binary encoded triangle strips. Some geometry objects can achieve up to 18. The Run time of compression operation likes decompression operation, and is fast. Because the compression/decompression algorithm is very simple and less storage space is needed on main memory. These benefits allow a real-time hardware realization of compression/decompression algorithm.
Części książek na temat "3D geometry compression"
Rossignac, Jarek. "Surface simplification and 3D geometry compression". W Handbook of Discrete and Computational Geometry, Second Edition. Chapman and Hall/CRC, 2004. http://dx.doi.org/10.1201/9781420035315.ch54.
Pełny tekst źródła"Surface simplification and 3D geometry compression". W Handbook of Discrete and Computational Geometry, Second Edition, 1202–33. Chapman and Hall/CRC, 2004. http://dx.doi.org/10.1201/9781420035315-54.
Pełny tekst źródłaMorales, Edith Obregón, José de Jesús Pérez Bueno, Juan Carlos Moctezuma Esparza, Diego Marroquín García, Arturo Trejo Pérez, Roberto Carlos Flores Romero, Juan Manuel Olivares Ramírez i in. "3D Scanning and Simulation of a Hybrid Refrigerator Using Photovoltaic Energy". W Encyclopedia of Information Science and Technology, Fourth Edition, 1277–96. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2255-3.ch110.
Pełny tekst źródłaMorales, Edith Obregón, José de Jesús Pérez Bueno, Juan Carlos Moctezuma Esparza, Diego Marroquín García, Arturo Trejo Pérez, Roberto Carlos Flores Romero, Juan Manuel Olivares Ramírez i in. "3D Scanning and Simulation of a Hybrid Refrigerator Using Photovoltaic Energy". W Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction, 312–36. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7368-5.ch024.
Pełny tekst źródłaZinger, S., L. Do, P. H. N. de With, G. Petrovic i Y. Morvan. "Free-Viewpoint 3DTV". W Multimedia Networking and Coding, 235–53. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2660-7.ch009.
Pełny tekst źródłaWu, Fan, Emmanuel Agu, Clifford Lindsay i Chung-han Chen. "UbiWave". W Handheld Computing for Mobile Commerce, 124–79. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-761-9.ch008.
Pełny tekst źródłaRaffik, R., Raghavan Santhanam, Chamandeep Kaur, S. Seenivasan i K. Somasundaram. "An Overview of 3D Printing (Additive Manufacturing in Powder-Based Methods) Materials, Methods, Mechanical Properties, and Applications". W Handbook of Research on Advanced Functional Materials for Orthopedic Applications, 14–28. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7412-9.ch002.
Pełny tekst źródłaStreszczenia konferencji na temat "3D geometry compression"
Das, Sanjib, i P. K. Bora. "Object-based Compression of 3D Animation Geometry". W 2018 International Conference on Signal Processing and Communications (SPCOM). IEEE, 2018. http://dx.doi.org/10.1109/spcom.2018.8724431.
Pełny tekst źródłaHuang, Tianxin, i Yong Liu. "3D Point Cloud Geometry Compression on Deep Learning". W MM '19: The 27th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3343031.3351061.
Pełny tekst źródłaZhang, Song. "Recent research on high-resolution 3D range geometry compression". W Dimensional Optical Metrology and Inspection for Practical Applications VII, redaktorzy Song Zhang i Kevin G. Harding. SPIE, 2018. http://dx.doi.org/10.1117/12.2309575.
Pełny tekst źródłaPayan, Frederic, i Marc Antonini. "Weighted bit allocation for multiresolution 3D mesh geometry compression". W Visual Communications and Image Processing 2003, redaktorzy Touradj Ebrahimi i Thomas Sikora. SPIE, 2003. http://dx.doi.org/10.1117/12.503099.
Pełny tekst źródłaNguyen, Dat Thanh, Maurice Quach, Giuseppe Valenzise i Pierre Duhamel. "Learning-Based Lossless Compression of 3D Point Cloud Geometry". W ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9414763.
Pełny tekst źródłaXu, Jiacheng, Zhijun Fang, Yongbin Gao, Siwei Ma, Yaochu Jin, Heng Zhou i Anjie Wang. "Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression". W 2021 Data Compression Conference (DCC). IEEE, 2021. http://dx.doi.org/10.1109/dcc50243.2021.00085.
Pełny tekst źródłaZou, Wenjie, Haidi Huang, Anthony Trioux i Fuzheng Yang. "An efficient video-based geometry compression system for 3D meshes". W 2023 IEEE International Conference on Visual Communications and Image Processing (VCIP). IEEE, 2023. http://dx.doi.org/10.1109/vcip59821.2023.10402678.
Pełny tekst źródłaDekkar, Malic, i Yan Wang. "A Dynamic 3D Geometry Compression Scheme Based on the Lifted Wavelet Transform". W ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35628.
Pełny tekst źródłaBidgoli, Navid Mahmoudian, Thomas Maugey, Aline Roumy, Fatemeh Nasiri i Frederic Payan. "A geometry-aware compression of 3D mesh texture with random access". W 2019 Picture Coding Symposium (PCS). IEEE, 2019. http://dx.doi.org/10.1109/pcs48520.2019.8954519.
Pełny tekst źródłaBoulfani-Cuisinaud, Yasmine, i Marc Antonini. "Motion-Based Geometry Compensation for DWT Compression of 3D mesh Sequences". W 2007 IEEE International Conference on Image Processing. IEEE, 2007. http://dx.doi.org/10.1109/icip.2007.4378930.
Pełny tekst źródłaRaporty organizacyjne na temat "3D geometry compression"
LOW-TEMPERATURE COMPRESSION BEHAVIOUR OF CIRCULAR STUB STAINLESS-STEEL TUBULAR COLUMNS. The Hong Kong Institute of Steel Construction, wrzesień 2022. http://dx.doi.org/10.18057/ijasc.2022.18.3.4.
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