Results 11 to 20 of about 58,290 (291)

Isotopic implicit surface meshing [PDF]

open access: yesProceedings of the thirty-sixth annual ACM symposium on Theory of computing, 2004
This paper algorithmically solves the problem of finding an approximating isotopic simplicial surface for a compact regular level set \([f=0]\) of a \(C^2\) function \(f\) defined in space. This topic is highly relevant for computing and visualization, unfortunately the authors mention that they have not yet implemented their algorithm.
Boissonnat, Jean-Daniel   +2 more
core   +12 more sources

The implicit equation of a canal surface [PDF]

open access: yesJournal of Symbolic Computation, 2009
A canal surface is an envelope of a one parameter family of spheres. In this paper we present an efficient algorithm for computing the implicit equation of a canal surface generated by a rational family of spheres. By using Laguerre and Lie geometries, we relate the equation of the canal surface to the equation of a dual variety of a certain curve in 5-
Dohm, Marc, Zube, Severinas
exaly   +5 more sources

High-Precision 3D Reconstruction in Complex Scenes via Implicit Surface Reconstruction Enhanced by Multi-Sensor Data Fusion [PDF]

open access: yesSensors
In this paper, we investigate implicit surface reconstruction methods based on deep learning, enhanced by multi-sensor data fusion, to improve the accuracy of 3D reconstruction in complex scenes.
Quanchen Zhou   +3 more
doaj   +2 more sources

Joint stereo 3D object detection and implicit surface reconstruction [PDF]

open access: yesScientific Reports
We present a new learning-based framework S-3D-RCNN that can recover accurate object orientation in SO(3) and simultaneously predict implicit rigid shapes from stereo RGB images.
Shichao Li   +3 more
doaj   +2 more sources

Implicit meshes for surface reconstruction [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
Deformable 3D models can be represented either as traditional explicit surfaces, such as triangulated meshes, or as implicit surfaces. Explicit surfaces are widely accepted because they are simple to deform and render, but fitting them involves minimizing a nondifferentiable distance function.
Slobodan Ilic, Pascal Fua
openaire   +5 more sources

Res-NeuS: Deep Residuals and Neural Implicit Surface Learning for Multi-View Reconstruction [PDF]

open access: yesSensors
Surface reconstruction using neural networks has proven effective in reconstructing dense 3D surfaces through image-based neural rendering. Nevertheless, current methods are challenging when dealing with the intricate details of large-scale scenes.
Wei Wang, Fengjiao Gao, Yongliang Shen
doaj   +2 more sources

Variational implicit surface meshing [PDF]

open access: yesComputers & Graphics, 2009
In this paper, we propose a new algorithm to mesh implicit surfaces which produces meshes both with a good triangle aspect ratio as well as a good approximation quality. The number of vertices of the output mesh is defined by the end-user. For this goal, we perform a two-stage processing : an initialization step followed by an iterative optimization ...
Gelas, Arnaud   +3 more
openaire   +3 more sources

Implicit-implicit and parametric-implicit surface intersections in Euclidean n-space

open access: yesActa et Commentationes Universitatis Tartuensis de Mathematica, 2023
In this paper, we study the intersection problem of two surfaces in which at least one surface is given by its implicit equation in Euclidean n-space. We first obtain the curvatures of the transversal intersection curve of two implicit surfaces. Later, the intersection problem is studied for a parametric surface and an implicit surface in n-dimensional
Bedia Merih Özçetin, Mustafa Düldül
openaire   +5 more sources

Neural Implicit Surface Evolution

open access: yes2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
This work investigates the use of smooth neural networks for modeling dynamic variations of implicit surfaces under the level set equation (LSE). For this, it extends the representation of neural implicit surfaces to the space-time $\mathbb{R}^3\times \mathbb{R}$, which opens up mechanisms for continuous geometric transformations.
Tiago Novello   +5 more
openaire   +3 more sources

Inverse design mechanical metamaterials with dual load-bearing and heat-transfer capabilities. [PDF]

open access: yesPLoS ONE
Metamaterials can achieve extraordinary properties unattainable in natural materials through sophisticated artificial structural design. This study constructs novel tri-periodic minimal surface configurations based on fundamental structures. By employing
Yuhao Liu
doaj   +2 more sources

Home - About - Disclaimer - Privacy