Results 11 to 20 of about 6,822,119 (311)

Inter-Frame Compression for Dynamic Point Cloud Geometry Coding [PDF]

open access: yesIEEE Transactions on Image Processing, 2022
Efficient point cloud compression is essential for applications like virtual and mixed reality, autonomous driving, and cultural heritage. This paper proposes a deep learning-based inter-frame encoding scheme for dynamic point cloud geometry compression.
Anique Akhtar, Zhu Li, G. Van der Auwera
semanticscholar   +1 more source

TransPCGC: Point Cloud Geometry Compression Based on Transformers

open access: yesAlgorithms, 2023
Due to the often substantial size of the real-world point cloud data, efficient transmission and storage have become critical concerns. Point cloud compression plays a decisive role in addressing these challenges.
Shiyu Lu, Huamin Yang, Cheng Han
doaj   +1 more source

Missing the point in noncommutative geometry [PDF]

open access: yesSynthese, 2021
AbstractNoncommutative geometries generalize standard smooth geometries, parametrizing the noncommutativity of dimensions with a fundamental quantity with the dimensions of area. The question arises then of whether the concept of a region smaller than the scale—and ultimately the concept of a point—makes sense in such a theory.
Huggett N., Lizzi F., Menon T.
openaire   +6 more sources

Asymptotic geometry and Delta-points

open access: yesBanach 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   +4 more sources

CLUSTERING OF WALL GEOMETRY FROM UNSTRUCTURED POINT CLOUDS [PDF]

open access: yesThe 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

Joint Geometry and Color Projection-Based Point Cloud Quality Metric

open access: yesIEEE 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

Multiscale deep context modeling for lossless point cloud geometry compression [PDF]

open access: yes2021 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

Point Cloud Geometry Compression Based on Multi-Layer Residual Structure

open access: yesEntropy, 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

Joint Geometry and Color Point Cloud Denoising Based on Graph Wavelets

open access: yesIEEE 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

open access: yesPhysics 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

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