Results 1 to 10 of about 5,539,028 (294)
The JPEG Pleno Learning-Based Point Cloud Coding Standard: Serving Man and Machine
IEEE AccessEfficient point cloud coding has become increasingly critical for multiple applications such as virtual reality, autonomous driving, and digital twin systems, where rich and interactive 3D data representations may functionally make the difference.
Andre F. R. Guarda +2 more
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An Efficient LiDAR Point Cloud Map Coding Scheme Based on Segmentation and Frame-Inserting Network
Sensors, 2022 In this article, we present an efficient coding scheme for LiDAR point cloud maps. As a point cloud map consists of numerous single scans spliced together, by recording the time stamp and quaternion matrix of each scan during map building, we cast the ...
Qiang Wang +5 more
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A Generic Scheme for Progressive Point Cloud Coding [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2008 In this paper, we propose a generic point cloud encoder that provides a unified framework for compressing different attributes of point samples corresponding to 3D objects with arbitrary topology. In the proposed scheme, the coding process is led by an iterative octree cell subdivision of the object space.
Jingliang Peng, M Gopi
exaly +4 more sources
A Deep Point Cloud Geometry Coding Toolbox [PDF]
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2021 This short paper describes a TensorFlow toolbox for point cloud geometry coding based on deep neural networks. This coding method employs a deep auto-encoder trained with a focal loss to learn good representations for voxel occupancy. The software provides several coding parameters to achieve different rate-distortion trade-offs, and comes with pre ...
Maurice Quach +2 more
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Rateless Deep Joint Source Channel Coding for 3D Point Cloud
IEEE AccessTo enable untethered volumetric services, one of the primary challenges lies in reconstructing a high-quality 3D point cloud for each user, despite variations in channel conditions and bandwidth availability.
Shoichi Ibuki +4 more
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Performance Analysis of Deep Learning-Based Lossy Point Cloud Geometry Compression Coding Solutions
IEEE AccessThe quality evaluation of three deep learning-based coding solutions for point cloud geometry, notably ADLPCC, PCC GEO CNNv2, and PCGCv2, is presented. The MPEG G-PCC was used as an anchor. Furthermore, LUT SR, which uses multi-resolution Look-Up tables,
Joao Prazeres +3 more
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Joint Geometry and Color Projection-Based Point Cloud Quality Metric
IEEE Access, 2022 Point cloud coding solutions have been recently standardized to address the needs of multiple application scenarios. The design and assessment of point cloud coding methods require reliable objective quality metrics to evaluate the level of degradation ...
Alireza Javaheri +3 more
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A Simplification Method for Point Cloud of T-Profile Steel Plate for Shipbuilding
Algorithms, 2021 According to the requirements of point cloud simplification for T-profile steel plate welding in shipbuilding, the disadvantages of the existing simplification algorithms are analyzed.
Yanfeng Gao +3 more
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Sensors, 2022 Plant point cloud segmentation is an important step in 3D plant phenotype research. Because the stems, leaves, flowers, and other organs of plants are often intertwined and small in size, this makes plant point cloud segmentation more challenging than ...
Bin Li, Chenhua Guo
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Performance Evaluation of the Codec Agnostic Approach in MPEG-I Video-Based Point Cloud Compression
IEEE Access, 2021 In this study, we evaluated the codec agnostic approach of video-based point cloud compression (V-PCC) by applying several video codecs to V-PCC. The main concept of V-PCC is to use a video codec to compress the 2D patch images generated from a 3D point ...
Tianyu Dong, Kyutae Kim, Euee S. Jang
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