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Fast Run-Length Compression of Point Cloud Geometry
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s00170-018-2575-8openalex-snapshot
Point cloud and visual feature-based tracking method for an augmented reality-aided mechanical assembly system
inferredcites →https://doi.org/10.1016/0146-664x(82)90104-6openalex-snapshot
Geometric modeling using octree encoding
inferredcites →https://doi.org/10.1017/atsip.2020.12openalex-snapshot
An overview of ongoing point cloud compression standardization activities: video-based (V-PCC) and geometry-based (G-PCC)
inferredcites →https://doi.org/10.1109/dcc50243.2021.00014openalex-snapshot
Compression of point cloud geometry through a single projection
inferredcites →https://doi.org/10.1109/icassp.2019.8682413openalex-snapshot
Dynamic Point Cloud Geometry Compression via Patch-wise Polynomial Fitting
inferredcites →https://doi.org/10.1109/icassp39728.2021.9413902openalex-snapshot
G-Arrays: Geometric Arrays for Efficient Point Cloud Processing
inferredcites →https://doi.org/10.1109/icassp39728.2021.9414763openalex-snapshot
Learning-Based Lossless Compression of 3D Point Cloud Geometry
inferredcites →https://doi.org/10.1109/icip.2017.8296514openalex-snapshot
Context-based octree coding for point-cloud video
inferredcites →https://doi.org/10.1109/icip.2017.8297036openalex-snapshot
Fast point cloud compression via reversible cellular automata block transform
inferredcites →https://doi.org/10.1109/icip.2018.8451043openalex-snapshot
Example-Based Super-Resolution for Point-Cloud Video
inferredcites →https://doi.org/10.1109/icip.2018.8451254openalex-snapshot
A Transform Coding Strategy for Voxelized Dynamic Point Clouds
inferredcites →https://doi.org/10.1109/icip.2018.8451802openalex-snapshot
Intra-Frame Context-Based Octree Coding for Point-Cloud Geometry
inferredcites →https://doi.org/10.1109/icip40778.2020.9190648openalex-snapshot
Silhouette 4d: An Inter-Frame Lossless Geometry Coder Of Dynamic Voxelized Point Clouds
inferredcites →https://doi.org/10.1109/icip42928.2021.9506767openalex-snapshot
Refining The Bounding Volumes for Lossless Compression of Voxelized Point Clouds Geometry
inferredcites →https://doi.org/10.1109/icmew53276.2021.9455990openalex-snapshot
Multiscale deep context modeling for lossless point cloud geometry compression
inferredcites →https://doi.org/10.1109/icra.2012.6224647openalex-snapshot
Real-time compression of point cloud streams
inferredcites →https://doi.org/10.1109/jetcas.2018.2885981openalex-snapshot
Emerging MPEG Standards for Point Cloud Compression
inferredcites →https://doi.org/10.1109/jproc.2021.3085957openalex-snapshot
Compression of Sparse and Dense Dynamic Point Clouds—Methods and Standards
inferredcites →https://doi.org/10.1109/lsp.2018.2823701openalex-snapshot
Distance-Based Probability Model for Octree Coding
inferredcites →https://doi.org/10.1109/lsp.2020.2965322openalex-snapshot
Intra-Frame Compression of Point Cloud Geometry Using Dyadic Decomposition
inferredcites →https://doi.org/10.1109/lsp.2021.3102525openalex-snapshot
Silhouette 4D With Context Selection: Lossless Geometry Compression of Dynamic Point Clouds
inferredcites →https://doi.org/10.1109/mmsp.2017.8122226openalex-snapshot
Lossless point cloud geometry compression via binary tree partition and intra prediction
inferredcites →https://doi.org/10.1109/mmsp48831.2020.9287106openalex-snapshot
Successive Refinement of Bounding Volumes for Point Cloud Coding
inferredcites →https://doi.org/10.1109/mmsp53017.2021.9733658openalex-snapshot
Neural Network Modeling of Probabilities for Coding the Octree Representation of Point Clouds
inferredcites →https://doi.org/10.1109/msp.2019.2900721openalex-snapshot
Video-Based Point-Cloud-Compression Standard in MPEG: From Evidence Collection to Committee Draft [Standards in a Nutshell]
inferredcites →https://doi.org/10.1109/tbc.2019.2957652openalex-snapshot
A Comprehensive Study and Comparison of Core Technologies for MPEG 3-D Point Cloud Compression
inferredcites →https://doi.org/10.1109/tcsvt.2021.3100279openalex-snapshot
Lossless Coding of Point Cloud Geometry Using a Deep Generative Model
inferredcites →https://doi.org/10.1109/tip.2017.2707807openalex-snapshot
Motion-Compensated Compression of Dynamic Voxelized Point Clouds
inferredcites →https://doi.org/10.1109/tip.2019.2931466openalex-snapshot
Geometry Coding for Dynamic Voxelized Point Clouds Using Octrees and Multiple Contexts
inferredcites →https://doi.org/10.1109/tip.2020.3011811openalex-snapshot
A Transform Coding Strategy for Dynamic Point Clouds
inferredcites →https://doi.org/10.1109/vcip47243.2019.8965783openalex-snapshot
Intra-Frame Compression of Point Cloud Geometry using Boolean Decomposition
inferredcites →https://doi.org/10.1145/3301293.3302358openalex-snapshot
Toward Practical Volumetric Video Streaming on Commodity Smartphones
inferredcites →https://doi.org/10.1177/0142331217739953openalex-snapshot
Point cloud augmented virtual reality environment with haptic constraints for teleoperation
inferredcites →https://doi.org/10.14209/sbrt.2020.1570658199openalex-snapshot
Context Selection for Lossless Compression of Bi-Level Images
inferredcites →https://doi.org/10.3390/app8050656openalex-snapshot
Analytical Point-Cloud Based Geometric Modeling for Additive Manufacturing and Its Application to Cultural Heritage Preservation
inferredcites →https://doi.org/10.48550/arxiv.2103.06549openalex-snapshot
Advanced Geometry Surface Coding for Dynamic Point Cloud Compression
inferredcites →https://doi.org/10.5194/isprs-annals-iv-2-w4-99-2017openalex-snapshot
POINT-CLOUD COMPRESSION FOR VEHICLE-BASED MOBILE MAPPING SYSTEMS USING PORTABLE NETWORK GRAPHICS
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4687784openalex-extracted
Research on Lossless Compression Algorithms for Electric Vehicles Based on Vehicle-Cloud Collaborative Interconnection
inferred← citeshttps://doi.org/10.1007/978-3-032-36969-7_7openalex-snapshot
Towards Practical Lossless Neural Compression for LiDAR Point Clouds
inferred← citeshttps://doi.org/10.1007/s11760-023-02803-9openalex-snapshot
Optimized octree codec for geometry-based point cloud compression
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129917openalex-snapshot
Enhancing storage efficiency for cloud-based vehicle data based on advanced lossless compression algorithm
inferred← citeshttps://doi.org/10.1016/j.joes.2024.07.002openalex-snapshot
Run length encoding based weld seam detection from point clouds of ship stiffened panel
inferred← citeshttps://doi.org/10.1109/access.2022.3197295openalex-snapshot
Lossless Compression of Point Cloud Sequences Using Sequence Optimized CNN Models
inferred← citeshttps://doi.org/10.1109/apccas67402.2025.11377000openalex-snapshot
A Convolutional Autoencoder-Based System for Point Cloud Compression
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447944openalex-snapshot
ScanPCGC: Learning-Based Lossless Point Cloud Geometry Compression using Sequential Slice Representation
inferred← citeshttps://doi.org/10.1109/iccsi55536.2022.9970655openalex-snapshot
Parametric Cubic Spline Interpolating Surfaces for Arbitrary Polygonal Meshes
inferred← citeshttps://doi.org/10.1109/icip49359.2023.10222713openalex-snapshot
Multithreaded Algorithms for Lossless Intra Compression of Point Cloud Geometry Based on the Silhouette 3d Coder
inferred← citeshttps://doi.org/10.1109/mysurucon55714.2022.9972381openalex-snapshot
Image Compression and Decompression with Configurable Architecture on FPGA platform
inferred← citeshttps://doi.org/10.1109/tip.2025.3538163openalex-snapshot
Shell-Guided Compression of Voxel Radiance Fields
inferred← citeshttps://doi.org/10.1109/tip.2026.3702347openalex-snapshot
Slide Deformable Transformer for High-Precision LiDAR Point Cloud Compression
inferred← citeshttps://doi.org/10.1109/tip.2026.3703758openalex-snapshot
Voxel-Based Point Cloud Geometry Compression With Space-to-Channel Context
inferred← citeshttps://doi.org/10.1364/ol.495913openalex-snapshot
Coded aperture-based compressive data page for optical data storage
inferred← citeshttps://doi.org/10.3390/rs16101761openalex-snapshot
Development of a High-Precision Lidar System and Improvement of Key Steps for Railway Obstacle Detection Algorithm
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