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Related papers: Shape Reconstruction of Trapezoidal Surfaces

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T-curves are piecewise linear curves which have been used with success since the beginning of the 1990's to construct new real algebraic curves with prescribed topology mainly on the real projective plane. In fact T-curves can be used on…

Algebraic Geometry · Mathematics 2007-05-23 Bertrand Haas

Aerodynamic shape optimization has many industrial applications. Existing methods, however, are so computationally demanding that typical engineering practices are to either simply try a limited number of hand-designed shapes or restrict…

Computational Engineering, Finance, and Science · Computer Science 2018-02-13 Pierre Baqué , Edoardo Remelli , François Fleuret , Pascal Fua

This paper develops a new way to create smooth piecewise polynomial free-form spline surfaces from quad- meshes that include T-junctions, where surface strips start or terminate. All mesh nodes can be interpreted as control points of…

Numerical Analysis · Mathematics 2017-05-03 Kestutis Karciauskas , Daniele Panozzo , Jörg Peters

We investigate discrete spin transformations, a geometric framework to manipulate surface meshes by controlling mean curvature. Applications include surface fairing -- flowing a mesh onto say, a reference sphere -- and mesh extrusion --…

Computational Geometry · Computer Science 2019-06-11 Loic Le Folgoc , Daniel C. Castro , Jeremy Tan , Bishesh Khanal , Konstantinos Kamnitsas , Ian Walker , Amir Alansary , Ben Glocker

Image-based 3D reconstruction has increasingly stunning results over the past few years with the latest improvements in computer vision and graphics. Geometry and topology are two fundamental concepts when dealing with 3D mesh structures.…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Gaëtan Landreau , Mohamed Tamaazousti

We present a topology-informed inverse rendering approach for reconstructing high-genus surface meshes from multi-view images. Compared to 3D representations like voxels and point clouds, mesh-based representations are preferred as they…

Implicit neural networks have emerged as a crucial technology in 3D surface reconstruction. To reconstruct continuous surfaces from discrete point clouds, encoding the input points into regular grid features (plane or volume) has been…

Computer Vision and Pattern Recognition · Computer Science 2024-01-05 Shengtao Li , Ge Gao , Yudong Liu , Yu-Shen Liu , Ming Gu

This paper investigates a discretization scheme for mean curvature motion on point cloud varifolds with particular emphasis on singular evolutions. To define the varifold a local covariance analysis is applied to compute an approximate…

Numerical Analysis · Mathematics 2020-10-20 Blanche Buet , Martin Rumpf

In this paper, we introduce novel methods for computing middle surfaces between various 3D data sets such as point clouds and/or discrete surfaces. Traditionally the middle surface is obtained by detecting singularities in computed distance…

Numerical Analysis · Mathematics 2021-12-21 Balazs Kosa , Karol Mikula

This paper proposes a novel neural-network-based adaptive hybrid-reflectance three-dimensional (3-D) surface reconstruction model. The neural network combines the diffuse and specular components into a hybrid model. The proposed model…

Neural and Evolutionary Computing · Computer Science 2009-12-14 Vincy Joseph , Shalini Bhatia

We propose a method for unsupervised reconstruction of a temporally-consistent sequence of surfaces from a sequence of time-evolving point clouds. It yields dense and semantically meaningful correspondences between frames. We represent the…

Computer Vision and Pattern Recognition · Computer Science 2021-11-15 Jan Bednarik , Noam Aigerman , Vladimir G. Kim , Siddhartha Chaudhuri , Shaifali Parashar , Mathieu Salzmann , Pascal Fua

The advancements in neural rendering have increased the need for techniques that enable intuitive editing of 3D objects represented as neural implicit surfaces. This paper introduces a novel neural algorithm for parameterizing neural…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Baixin Xu , Jiangbei Hu , Fei Hou , Kwan-Yee Lin , Wayne Wu , Chen Qian , Ying He

Conventional methods of 3D object generative modeling learn volumetric predictions using deep networks with 3D convolutional operations, which are direct analogies to classical 2D ones. However, these methods are computationally wasteful in…

Computer Vision and Pattern Recognition · Computer Science 2017-06-22 Chen-Hsuan Lin , Chen Kong , Simon Lucey

We present a prior for manifold structured data, such as surfaces of 3D shapes, where deep neural networks are adopted to reconstruct a target shape using gradient descent starting from a random initialization. We show that surfaces…

Computer Vision and Pattern Recognition · Computer Science 2020-04-10 Matheus Gadelha , Rui Wang , Subhransu Maji

Orienting surface normals correctly and consistently is a fundamental problem in geometry processing. Applications such as visualization, feature detection, and geometry reconstruction often rely on the availability of correctly oriented…

Graphics · Computer Science 2019-04-11 Sebastian Ochmann , Reinhard Klein

Spherical $t$-designs are finite point sets on the unit sphere that enable exact integration of polynomials of degree at most $t$ via equal-weight quadrature. This concept has recently been extended to spherical $t$-design curves by the use…

Combinatorics · Mathematics 2025-03-05 Martin Ehler

We propose a novel point-based representation, Gaussian surfels, to combine the advantages of the flexible optimization procedure in 3D Gaussian points and the surface alignment property of surfels. This is achieved by directly setting the…

Computer Vision and Pattern Recognition · Computer Science 2024-05-01 Pinxuan Dai , Jiamin Xu , Wenxiang Xie , Xinguo Liu , Huamin Wang , Weiwei Xu

We formulate a simple algorithm for computing global exact symmetries of closed discrete curves in plane. The method is based on a suitable trigonometric interpolation of vertices of the given polyline and consequent computation of the…

Computational Geometry · Computer Science 2021-08-11 Michal Bizzarri , Miroslav Lávička , Jan Vršek

Imagine a swarm of terrestrial robots that can explore an environment, and, upon completion of this task, reconfigure into a spherical ball and roll out. This dimensional change alters the dynamics of locomotion and can assist them to…

Robotics · Computer Science 2024-02-06 Caitlin Freeman , Michael Maynard , Vishesh Vikas

A fully automated object reconstruction pipeline is crucial for digital content creation. While the area of 3D reconstruction has witnessed profound developments, the removal of background to obtain a clean object model still relies on…

Computer Vision and Pattern Recognition · Computer Science 2023-05-16 Yuang Wang , Xingyi He , Sida Peng , Haotong Lin , Hujun Bao , Xiaowei Zhou
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