Results 171 to 180 of about 12,470 (218)

Plen-VDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
In this paper, we present a new representation for neural radiance fields that accelerates both the training and the inference processes with VDB, a hierarchical data structure for sparse volumes. VDB takes both the advantages of sparse and dense volumes
Han Yan, Celong Liu, Chao Ma, Xing Mei
openaire   +2 more sources

VDB TV

2021
Review of VDB TV, Reviewed June 2021 by Raeshelle Cooke Access Services Night Supervisor University of Massachusetts, Dartmouth rcooke@umassd.edu.
openaire   +2 more sources

VDB-Submapping: Efficient Handling of Retroactive Pose Changes During Large-Scale Volumetric Mapping

2023 20th International Conference on Ubiquitous Robots (UR), 2023
Volumetric mapping algorithms are widely used in robotics and computer vision applications, such as autonomous navigation and object recognition. The VDB-mapping frame-work is a fast, memory efficient mapping algorithm that uses a tree based voxel ...
M. G. Besselmann   +2 more
semanticscholar   +1 more source

Extremal (n,m)-graphs with respect to VDB topological indices

Open Journal of Discrete Applied Mathematics, 2023
The vertex-degree based (VDB) topological index (or graphical function-index) \(TI_{f}(G)\) of \(G\) with edge-weight function \(f(x,y)\) was defined as \(TI_{f}(G)=\sum\limits_{uv\in E(G)}f(d(u),d(v))\), where \(d(u)\) is the degree of vertex \(u\) in \(
Hechao Liu
semanticscholar   +1 more source

NanoVDB: A GPU-Friendly and Portable VDB Data Structure For Real-Time Rendering And Simulation

SIGGRAPH Talks, 2021
We introduce a sparse volumetric data structure, dubbed NanoVDB, which is portable to both C++11 and C99 as well as most graphics APIs, e.g. CUDA, OpenCL, OpenGL, WebGL, DirectX 12, OptiX, HLSL, and GLSL.
K. Museth
semanticscholar   +1 more source

Fast Sparse 3D Convolution Network with VDB

arXiv.org, 2023
We proposed a new Convolution Neural Network implementation optimized for sparse 3D data inference. This implementation uses NanoVDB as the data structure to store the sparse tensor.
Fangjun Zhou   +2 more
semanticscholar   +1 more source

Electromagnetic compatibility analysis of GBAS VDB by magnetic levitation arc

Other Conferences, 2022
In the case that magnetic levitation (maglev) is required to enter the airport and GBAS VDB is used as a means of aircraft approach in the future, a reasonable layout between maglev line and GBAS VDB is sought.
Jiaquan Ye   +4 more
semanticscholar   +1 more source

ASKAP EMU Radio Detection of the Reflection Nebula VdB-80 in the Monoceros Crossbones Filamentary Structure

Publications Astronomical Society of Australia
We present a new radio detection from the Australian Square Kilometre Array Pathfinder (ASKAP) Evolutionary Map of the Universe (EMU) survey associated with the Reflection Nebula (RN) VdB-80.
A. Bradley   +11 more
semanticscholar   +1 more source

VDB-Mapping: A High Resolution and Real-Time Capable 3D Mapping Framework for Versatile Mobile Robots

2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), 2021
Recent developments of versatile mobile robots demand a precise and complete volumetric representation of space for path and mission planning. However, the immense amount of accumulated raw data points from 3D sensors quickly becomes unmanageable ...
M. G. Besselmann   +4 more
semanticscholar   +1 more source

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