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Related papers: Smooth Surfaces via Nets of Geodesics

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In this paper, we study a family of curves on $S^2$ that defines a two-dimensional smooth projective plane. We use curve shortening flow to prove that any two-dimensional smooth projective plane can be smoothly deformed through a family of…

Analysis of PDEs · Mathematics 2013-08-19 Yu-Wen Hsu

For the complex of curves of a closed orientable surface of genus $g$, $\mathcal{C}(S_{g>1})$, the notion of efficient geodesic in was introduced in arXiv:1408.4133. There it was established that there always exists (finitely many)…

Geometric Topology · Mathematics 2022-07-14 Hong Chang

In recent years, implicit surface representations through neural networks that encode the signed distance have gained popularity and have achieved state-of-the-art results in various tasks (e.g. shape representation, shape reconstruction,…

Graphics · Computer Science 2023-01-30 Petros Tzathas , Petros Maragos , Anastasios Roussos

Sketch-based modeling strives to bring the ease and immediacy of drawing to the 3D world. However, while drawings are easy for humans to create, they are very challenging for computers to interpret due to their sparsity and ambiguity. We…

Graphics · Computer Science 2018-06-20 Johanna Delanoy , Mathieu Aubry , Phillip Isola , Alexei A. Efros , Adrien Bousseau

In the present paper, we propose a new discrete surface theory on 3-valent embedded graphs in the 3-dimensional Euclidean space which are not necessarily discretization or approximation of smooth surfaces. The Gauss curvature and the mean…

Differential Geometry · Mathematics 2016-01-28 Motoko Kotani , Hisashi Naito , Toshiaki Omori

Reconstructing 2D curves from sample points has long been a critical challenge in computer graphics, finding essential applications in vector graphics. The design and editing of curves on surfaces has only recently begun to receive…

Computational Geometry · Computer Science 2024-10-08 Diana Marin , Filippo Maggioli , Simone Melzi , Stefan Ohrhallinger , Michael Wimmer

The main aim of this paper is to investigate Darboux rectifying curves on a smooth surface immersed in the Euclidean space. First, we discuss the component of the position vector of a Darboux rectifying curve on a smooth immersed surface…

Differential Geometry · Mathematics 2021-04-06 Buddhadev Pal , Akhilesh Yadav

Computing a quasi-developable strip surface bounded by design curves finds wide industrial applications. Existing methods compute discrete surfaces composed of developable lines connecting sampling points on input curves which are not…

Graphics · Computer Science 2022-12-19 Pengbo Bo , Yujian Zheng , Caiming Zhang

Quadratic surfaces gain more and more attention among the Geometric Algebra community and some frameworks were proposed in order to represent, transform, and intersect these quadratic surfaces. As far as the authors know, none of these…

Computational Geometry · Computer Science 2019-03-07 Stéphane Breuils , Vincent Nozick , Laurent Fuchs , Akihiro Sugimoto

A translation surface in the three-dimensional sphere $\mathbb{S}^3$ is a surface generated by the quaternionic product of two curves, called generating curves. In this paper, we present rigidity results for such surfaces. We introduce an…

Differential Geometry · Mathematics 2025-07-30 Tarcios Andrey Ferreira , João Paulo dos Santos

Semantic scene understanding from point clouds is particularly challenging as the points reflect only a sparse set of the underlying 3D geometry. Previous works often convert point cloud into regular grids (e.g. voxels or bird-eye view…

Computer Vision and Pattern Recognition · Computer Science 2020-12-01 Yinyu Nie , Ji Hou , Xiaoguang Han , Matthias Nießner

As a collection of 3D points sampled from surfaces of objects, a 3D point cloud is widely used in robotics, autonomous driving and augmented reality. Due to the physical limitations of 3D sensing devices, 3D point clouds are usually noisy,…

Computational Geometry · Computer Science 2018-07-03 Chaojing Duan , Siheng Chen , Jelena Kovačević

We introduce a new formalism and a number of new results in the context of geometric computational vision. The classical scope of the research in geometric computer vision is essentially limited to static configurations of points and lines…

Algebraic Geometry · Mathematics 2007-07-13 Michael Fryers , Jeremy Yirmeyahu Kaminski , Mina Teicher

We present a new and general framework for convolutional neural network operations on spherical (or omnidirectional) images. Our approach represents the surface as a graph of connected points that doesn't rely on a particular sampling…

Computer Vision and Pattern Recognition · Computer Science 2022-10-20 David Hart , Michael Whitney , Bryan Morse

We introduce a method for learning to generate the surface of 3D shapes. Our approach represents a 3D shape as a collection of parametric surface elements and, in contrast to methods generating voxel grids or point clouds, naturally infers…

Computer Vision and Pattern Recognition · Computer Science 2018-07-23 Thibault Groueix , Matthew Fisher , Vladimir G. Kim , Bryan C. Russell , Mathieu Aubry

The main objective of the present paper is to investigate a sufficient condition for which a rectifying curve on a smooth surface remains invariant under isometry of surfaces, and also it is shown that under such an isometry the component…

General Mathematics · Mathematics 2018-08-13 Absos Ali Shaikh , Pinaki Ranjan Ghosh

Meshes are commonly used as 3D maps since they encode the topology of the scene while being lightweight. Unfortunately, 3D meshes are mathematically difficult to handle directly because of their combinatorial and discrete nature. Therefore,…

Computer Vision and Pattern Recognition · Computer Science 2021-08-09 Antoni Rosinol , Luca Carlone

Geometric metrology includes one or two-dimensional (1D or 2D) distance or plane measurements, as well as the three-dimensional (3D) scanning. The 1D or 2D measuring system is unable to obtain advanced 3D feature, while the 3D scanning…

Graphics · Computer Science 2021-10-29 Qinwu Xu

The objective of this work is to infer the 3D shape of an object from a single image. We use sculptures as our training and test bed, as these have great variety in shape and appearance. To achieve this we build on the success of multiple…

Computer Vision and Pattern Recognition · Computer Science 2018-10-05 Olivia Wiles , Andrew Zisserman

We propose a method for predicting the 3D shape of a deformable surface from a single view. By contrast with previous approaches, we do not need a pre-registered template of the surface, and our method is robust to the lack of texture and…

Computer Vision and Pattern Recognition · Computer Science 2018-09-28 Albert Pumarola , Antonio Agudo , Lorenzo Porzi , Alberto Sanfeliu , Vincent Lepetit , Francesc Moreno-Noguer