Results 21 to 30 of about 6,822,119 (311)
Lossless Coding of Point Cloud Geometry Using a Deep Generative Model [PDF]
This paper proposes a lossless point cloud (PC) geometry compression method that uses neural networks to estimate the probability distribution of voxel occupancy. First, to take into account the PC sparsity, our method adaptively partitions a point cloud
D. Nguyen +3 more
semanticscholar +1 more source
The geometry of point particles [PDF]
32 pages, including 8 ...
Atiyah, M. F., Sutcliffe, P. M.
openaire +4 more sources
Iterative Geometry Encoding Volume for Stereo Matching [PDF]
Recurrent All-Pairs Field Transforms (RAFT) has shown great potentials in matching tasks. However, all-pairs correlations lack non-local geometry knowledge and have difficulties tackling local ambiguities in ill-posed regions.
Gangwei Xu +3 more
semanticscholar +1 more source
Patch-Based Deep Autoencoder for Point Cloud Geometry Compression [PDF]
The ever-increasing 3D application makes the point cloud compression unprecedentedly important and needed. In this paper, we propose a patch-based compression process using deep learning, focusing on the lossy point cloud geometry compression.
Kang-Soo You, Pan Gao
semanticscholar +1 more source
Layered Projection-Based Quality Assessment of 3D Point Clouds
Point clouds are subject to various distortions during point cloud processing missions, any of which may lead to quality degradation. Consequently, predicting point cloud quality has attracted a lot of attention. In this paper, a layered projection-based
Tianxin Chen +7 more
doaj +1 more source
Points in algebraic geometry [PDF]
We give scheme-theoretic descriptions of the category of fibre functors on the categories of sheaves associated to the Zariski, Nisnevich, tale, rh, cdh, ldh, eh, qfh, and h topologies on the category of separated schemes of finite type over a separated noetherian base.
Gabber, Ofer, Kelly, Shane
openaire +3 more sources
PU-Dense: Sparse Tensor-Based Point Cloud Geometry Upsampling
Due to the increased popularity of augmented and virtual reality experiences, the interest in capturing high-resolution real-world point clouds has never been higher.
Anique Akhtar +4 more
semanticscholar +1 more source
A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment [PDF]
Point clouds (PCs) are a powerful 3D visual representation paradigm for many emerging application domains, especially virtual and augmented reality, and autonomous vehicles. However, the large amount of PC data required for highly immersive and realistic
Alireza Javaheri +3 more
semanticscholar +1 more source
Simple microfluidic stagnation point flow geometries [PDF]
A geometrically simple flow cell is proposed to generate different types of stagnation flows, using a separation flow and small variations of the geometric parameters. Flows with high local deformation rates can be changed from purely rotational, over simple shear flow, to extensional flow in a region surrounding a stagnation point. Computational fluid
Dockx, Greet +6 more
openaire +4 more sources
Automatic Geometry Generation from Point Clouds for BIM
The need for better 3D documentation of the built environment has come to the fore in recent years, led primarily by city modelling at the large scale and Building Information Modelling (BIM) at the smaller scale.
Charles Thomson, Jan Boehm
doaj +1 more source

