Results 21 to 30 of about 7,539,459 (382)
Points in algebraic geometry [PDF]
Journal of Pure and Applied Algebra, 2015 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.
Ofer Gabber, Shane Kelly
openaire +3 more sources
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
doaj +1 more source
CLUSTERING OF WALL GEOMETRY FROM UNSTRUCTURED POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The automated reconstruction of Building Information Modeling (BIM) objects from point cloud data is still ongoing research. A key aspect is retrieving the proper observations for each object. After segmenting and classifying the initial point cloud, the
M. Bassier, M. Vergauwen
doaj +1 more source
Multiscale Point Cloud Geometry Compression [PDF]
Data Compression Conference, 2020 Recent years have witnessed the growth of point cloud based applications for both immersive media as well as 3D sensing for auto-driving, because of its realistic and fine-grained representation of 3D objects and scenes.
Jianqiang Wang +3 more
semanticscholar +1 more source
Point Cloud Geometry Compression Based on Multi-Layer Residual Structure
Entropy, 2022 Point cloud data are extensively used in various applications, such as autonomous driving and augmented reality since it can provide both detailed and realistic depictions of 3D scenes or objects.
Jiawen Yu +4 more
doaj +1 more source
Multiscale deep context modeling for lossless point cloud geometry compression [PDF]
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2021 We propose a practical deep generative approach for lossless point cloud geometry compression, called MSVoxelDNN, and show that it significantly reduces the rate compared to the MPEG G-PCC codec. Our previous work based on autoregressive models (VoxelDNN
D. Nguyen +3 more
semanticscholar +1 more source
Joint Geometry and Color Point Cloud Denoising Based on Graph Wavelets
IEEE Access, 2021 A point cloud is an effective 3D geometrical presentation of data paired with different attributes such as transparency, normal and color of each point. The imperfect acquisition process of a 3D point cloud usually generates a significant amount of noise.
Muhammad Abeer Irfan, Enrico Magli
doaj +1 more source
Modeling of TAE mode excitation with an antenna in realistic X-point geometry
Physics of Plasmas, 2020 Experimentally, it is observed that Toroidal Alfven Eigenmodes (TAEs) are difficult to excite with an external antenna when the plasma is in X-point geometry.
A. Dvornova +9 more
semanticscholar +1 more source
Lossless Coding of Point Cloud Geometry Using a Deep Generative Model [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2021 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
Asymptotic geometry and Delta-points
Banach Journal of Mathematical Analysis, 2022 AbstractWe study Daugavet- and $$\Delta$$ Δ -points in Banach spaces. A norm one element x is a Daugavet-point (respectively, a $$\Delta$$ Δ -point) if in every slice of the unit ball (respectively, in every slice of the unit ball containing x) you can find another element of distance ...
Abrahamsen, Trond Arnold +3 more
openaire +3 more sources