Results 31 to 40 of about 7,539,459 (382)

PU-Dense: Sparse Tensor-Based Point Cloud Geometry Upsampling

open access: yesIEEE Transactions on Image Processing, 2022
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

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2020
In 2D image processing, some attempts decompose images into high and low frequency components for describing edge and smooth parts respectively. Similarly, the contour and flat area of 3D objects, such as the boundary and seat area of a chair, describe ...
Mutian Xu   +5 more
semanticscholar   +1 more source

Layered Projection-Based Quality Assessment of 3D Point Clouds

open access: yesIEEE Access, 2021
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

A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment [PDF]

open access: yesIEEE International Workshop on Multimedia Signal Processing, 2021
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

Geometry-Informed Neural Operator for Large-Scale 3D PDEs [PDF]

open access: yesNeural Information Processing Systems, 2023
We propose the geometry-informed neural operator (GINO), a highly efficient approach to learning the solution operator of large-scale partial differential equations with varying geometries.
Zong-Yi Li   +10 more
semanticscholar   +1 more source

Pairwise transitive 2-designs [PDF]

open access: yes, 2015
We classify the pairwise transitive 2-designs, that is, 2-designs such that a group of automorphisms is transitive on the following five sets of ordered pairs: point-pairs, incident point-block pairs, non-incident point-block pairs, intersecting block ...
Devillers, Alice, Praeger, Cheryl E.
core   +1 more source

Patch-Based Deep Autoencoder for Point Cloud Geometry Compression [PDF]

open access: yesACM Multimedia Asia, 2021
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

Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression

open access: yesSensors, 2021
In this paper we will present a new dynamic point cloud compression based on different projection types and bit depth, combined with the surface reconstruction algorithm and video compression for obtained geometry and texture maps. Texture maps have been
Emil Dumic   +2 more
doaj   +1 more source

The geometry of degenerations of Hilbert schemes of points [PDF]

open access: yesJournal of Algebraic Geometry, 2020
Given a strict simple degenerationf:X→Cf \colon X\to Cthe first three authors previously constructed a degenerationIX/Cn→CI^n_{X/C} \to Cof the relative degreennHilbert scheme of00-dimensional subschemes. In this paper we investigate the geometry of this degeneration, in particular when the fibre dimension offfis at most22.
Lars Halvard Halle   +4 more
openaire   +6 more sources

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