Results 181 to 190 of about 12,470 (218)
Some of the next articles are maybe not open access.
ACM Transactions on Graphics, 2013
We have developed a novel hierarchical data structure for the efficient representation of sparse, time-varying volumetric data discretized on a 3D grid. Our “VDB”, so named because it is a Volumetric, Dynamic grid that shares several characteristics with B+trees, exploits spatial coherency of time-varying data to separately and compactly ...
openaire +1 more source
We have developed a novel hierarchical data structure for the efficient representation of sparse, time-varying volumetric data discretized on a 3D grid. Our “VDB”, so named because it is a Volumetric, Dynamic grid that shares several characteristics with B+trees, exploits spatial coherency of time-varying data to separately and compactly ...
openaire +1 more source
3D Gaussian Particle Approximation of VDB Datasets: A Study for Scientific Visualization
arXiv.orgThe complexity and scale of Volumetric and Simulation datasets for Scientific Visualization(SciVis) continue to grow. And the approaches and advantages of memory-efficient data formats and storage techniques for such datasets vary.
Isha Sharma, Dieter Schmalstieg
semanticscholar +1 more source
Electromagnetic Compatibility of Maglev Arc Discharge Interference on VDB Signals
ElectronicsElectromagnetic compatibility (EMC) impacts of arc discharge from medium-low speed maglev trains on the VHF Data Broadcast (VDB) link of the Ground-Based Augmentation System (GBAS) are systematically investigated.
Xin Li +4 more
semanticscholar +1 more source
SLIM-VDB: A Real-Time 3D Probabilistic Semantic Mapping Framework
IEEE Robotics and Automation LettersThis letter introduces SLIM-VDB, a new lightweight semantic mapping system with probabilistic semantic fusion for closed-set or open-set dictionaries. Advances in data structures from the computer graphics community, such as OpenVDB, have demonstrated ...
Anja Sheppard +8 more
semanticscholar +1 more source
Chimera-VDB: Mixed-Precision Vector Database with HNSW Index for RAG-LLM
Proceedings of the 16th ACM SIGOPS Asia-Pacific Workshop on SystemsIn recent years, vector databases have become a core component in Retrieval-Augmented Generation (RAG) systems for Large Language Models (LLM), enabling fast retrieval of documents similar to a given query.
Naoshi Yamane +3 more
semanticscholar +1 more source
VDB-based Spatially Grounded Semantics for Interactive Robots
IEEE/ACM International Conference on Human-Robot InteractionThis paper presents a new approach for representing spatially-grounded semantics in interactive robots. The method combines spatial and symbolic data to improve robot interactions in human-occupied environments.
L. Ferrini, S. Lemaignan
semanticscholar +1 more source
GPU Volume Rendering with Hierarchical Compression Using VDB
arXiv.orgWe propose a compression-based approach to GPU rendering of large volumetric data using OpenVDB and NanoVDB. We use OpenVDB to create a lossy, fixed-rate compressed representation of the volume on the host, and use NanoVDB to perform fast, low-overhead ...
Stefan Zellmann +3 more
semanticscholar +1 more source
GenTune-VDB: Workload-Generative, Cross-Family Auto-Tuning for Vector Databases
International journal for electronic crime investigationVector databases are essential for AI-driven cybersecurity tasks, such as intrusion detection, anomaly detection, and threat intelligence retrieval, where high-dimensional security data like network traffic patterns, user behavior analytics, and security
Muhammad Tayyab +2 more
semanticscholar +1 more source
Neighbourhood Sum VDB Indices and Entropy for Specific Types of Molecular Graphs
Communications on Applied Nonlinear AnalysisIntroduction: Numerous TIs for different molecular graphs have been found and studied. The entropy measurements and the neighbourhood sum degree-based M-polynomial are derived for the six different anti-asthmatic drugs by using a set of 19 degree-based ...
𝐊 𝐕𝐢𝐣𝐚𝐲𝐚𝐤𝐮𝐦𝐚𝐫 +3 more
semanticscholar +1 more source
arXiv.org
Transmittance estimators such as Occupancy Grid (OG) can accelerate the training and rendering of Neural Radiance Field (NeRF) by predicting important samples that contributes much to the generated image.
Yoshio Kato, Shuhei Tarashima
semanticscholar +1 more source
Transmittance estimators such as Occupancy Grid (OG) can accelerate the training and rendering of Neural Radiance Field (NeRF) by predicting important samples that contributes much to the generated image.
Yoshio Kato, Shuhei Tarashima
semanticscholar +1 more source