Results 61 to 70 of about 7,539,459 (382)

Learning-Based Lossless Compression of 3D Point Cloud Geometry [PDF]

open access: yesIEEE International Conference on Acoustics, Speech, and Signal Processing, 2020
This paper presents a learning-based, lossless compression method for static point cloud geometry, based on context-adaptive arithmetic coding. Unlike most existing methods working in the octree domain, our encoder operates in a hybrid mode, mixing ...
D. Nguyen   +3 more
semanticscholar   +1 more source

Geometry and topology of symmetric point arrangements [PDF]

open access: yesLinear Algebra and its Applications, 2021
We investigate point arrangements $v_i\in\mathbb R^d,i\in \{1,...,n \}$ with certain prescribed symmetries. The arrangement space of $v$ is the column span of the matrix in which the $v_i$ are the rows. We characterize properties of $v$ in terms of the arrangement space, e.g.
openaire   +3 more sources

Efficient Large-Scale Point Cloud Geometry Compression

open access: yesSensors
Due to the significant bandwidth and memory requirements for transmitting and storing large-scale point clouds, considerable progress has been made in recent years in the field of large-scale point cloud geometry compression.
Shiyu Lu, Cheng Han, Huamin Yang
doaj   +1 more source

Homogeneous variational problems: a minicourse [PDF]

open access: yes, 1999
A Finsler geometry may be understood as a homogeneous variational problem, where the Finsler function is the Lagrangian. The extremals in Finsler geometry are curves, but in more general variational problems we might consider extremal submanifolds of ...
D. J. Saunders   +9 more
core   +5 more sources

OpenCRG Models From Different Data Sources to Support Vehicle Simulations

open access: yesIEEE Access, 2022
Digital twins of road surfaces support multiple engineering applications. Remote sensing technologies provide information from the entire surface of the pavement by high accuracy point clouds. Pavement errors and differences from designed geometry can be
Tamas Lovas   +5 more
doaj   +1 more source

Hamilton Geometry - Phase Space Geometry from Modified Dispersion Relations

open access: yes, 2018
Quantum gravity phenomenology suggests an effective modification of the general relativistic dispersion relation of freely falling point particles caused by an underlying theory of quantum gravity. Here we analyse the consequences of modifications of the
Barcaroli, Leonardo   +4 more
core   +1 more source

Geometry without topology as a new conception of geometry [PDF]

open access: yes, 2001
A geometric conception is a method of a geometry construction. The Riemannian geometric conception and a new T-geometric one are considered. T-geometry is built only on the basis of information included in the metric (distance between two points).
Rylov, Yuri A.
core   +4 more sources

Differentiable surface splatting for point-based geometry processing [PDF]

open access: yesACM Transactions on Graphics, 2019
We propose Differentiable Surface Splatting (DSS), a high-fidelity differentiable renderer for point clouds. Gradients for point locations and normals are carefully designed to handle discontinuities of the rendering function.
Yifan Wang   +4 more
semanticscholar   +1 more source

On transparent embeddings of point-line geometries [PDF]

open access: yesJournal of Combinatorial Theory, Series A, 2018
We introduce the class of transparent embeddings for a point-line geometry $ = ({\mathcal P},{\mathcal L})$ as the class of full projective embeddings $\varepsilon$ of $ $ such that the preimage of any projective line fully contained in $\varepsilon({\mathcal P})$ is a line of $ $.
Cardinali, Ilaria   +2 more
openaire   +4 more sources

Probabilistic Smoothing Based Generation of a Reliable Lane Geometry Map With Uncertainty of a Lane Detector

open access: yesIEEE Access, 2020
Since lane geometry information can be used for controlling the pose of an intelligent vehicle, a lane geometry map that contains the lane geometry information should have reliable accuracy. For generating the reliable lane geometry map, lane curve which
Seokwon Kim   +3 more
doaj   +1 more source

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