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Omnidirectional cameras are widely used in such areas as robotics and virtual reality as they provide a wide field of view. Their images are often processed with classical methods, which might unfortunately lead to non-optimal solutions as…

Computer Vision and Pattern Recognition · Computer Science 2017-07-27 Renata Khasanova , Pascal Frossard

CNN-based volumetric methods that label individual voxels now dominate the field of biomedical segmentation. However, 3D surface representations are often required for proper analysis. They can be obtained by post-processing the labeled…

Computer Vision and Pattern Recognition · Computer Science 2020-04-02 Udaranga Wickramasinghe , Edoardo Remelli , Graham Knott , Pascal Fua

Generative models have attracted considerable attention for their ability to produce novel shapes. However, their application in mechanical design remains constrained due to the limited size and variability of available datasets. This study…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Yongmin Kwon , Namwoo Kang

We propose a novel and flexible roof modeling approach that can be used for constructing planar 3D polygon roof meshes. Our method uses a graph structure to encode roof topology and enforces the roof validity by optimizing a simple but…

Graphics · Computer Science 2021-09-17 Jing Ren , Biao Zhang , Bojian Wu , Jianqiang Huang , Lubin Fan , Maks Ovsjanikov , Peter Wonka

Most 3D shape analysis methods use triangular meshes to discretize both the shape and functions on it as piecewise linear functions. With this representation, shape analysis requires fine meshes to represent smooth shapes and geometric…

Computer Vision and Pattern Recognition · Computer Science 2017-11-30 V. Estellers , F. R. Schmidt , D. Cremers

Geometric modeling by constraints leads to large systems of algebraic equations. This paper studies bipartite graphs underlaid by systems of equations. It shows how these graphs make possible to polynomially decompose these systems into…

Discrete Mathematics · Computer Science 2014-05-26 Samy Ait-Aoudia , Roland Jegou , Dominique Michelucci

In this paper, we investigate the algebraic structure underlying the acyclic decomposition. This decomposition applies to directed metric ribbon graphs and enables the recursive computation of the volumes of their moduli spaces. Building on…

Combinatorics · Mathematics 2025-07-11 Simon Barazer

Geometry processing of 3D objects is of primary interest in many areas of computer vision and graphics, including robot navigation, 3D object recognition, classification, feature extraction, etc. The recent introduction of cheap range…

Signal Processing · Electrical Eng. & Systems 2021-11-20 Gerasimos Arvanitis

Recent work has demonstrated that volumetric scene representations combined with differentiable volume rendering can enable photo-realistic rendering for challenging scenes that mesh reconstruction fails on. However, these methods entangle…

Computer Vision and Pattern Recognition · Computer Science 2021-03-02 Fanbo Xiang , Zexiang Xu , Miloš Hašan , Yannick Hold-Geoffroy , Kalyan Sunkavalli , Hao Su

The main goal of this paper is to present the application of structural sums, mathematical objects originating from the computational materials science, in construction of a feature space vector of 2D random composites simulated by…

Computational Engineering, Finance, and Science · Computer Science 2019-06-19 Wojciech Nawalaniec

We develop a cylindrical shape decomposition (CSD) algorithm to decompose an object, a union of several tubular structures, into its semantic components. We decompose the object using its curve skeleton and restricted translational sweeps.…

Computer Vision and Pattern Recognition · Computer Science 2021-02-12 Ali Abdollahzadeh , Alejandra Sierra , Jussi Tohka

Some methods based on simple regularizing geometric element transformations have heuristically been shown to give runtime efficient and quality effective smoothing algorithms for meshes. We describe the mathematical framework and a…

Computational Geometry · Computer Science 2013-07-09 Dimitris Vartziotis , Benjamin Himpel

Data with features of volume, velocity, variety, and veracity are challenging traditional tools to extract useful analysis for decision-making. By integrating high-dimensional analysis with visualization, this paper develops a 3D power-map…

Methodology · Statistics 2015-03-03 Xing He , Qian Ai , Robert C. qiu , Jianmo Ni , Longjian Piao , Yiting Xu , Xinyi Xu

The geometry of three-dimensional (3D) graphs, consisting of nodes and edges, plays a crucial role in many important applications. An excellent example is molecular graphs, whose geometry influences important properties of a molecule…

Computer Vision and Pattern Recognition · Computer Science 2020-06-03 Daniel T. Chang

We present a new algorithm for computing motorcycle graphs that runs in O(n^(4/3+e)) time for any e>0, improving on all previously known algorithms. The main application of this result is to computing the straight skeleton of a polygon. It…

Computational Geometry · Computer Science 2013-03-26 Antoine Vigneron , Lie Yan

For a graph embedded into a surface, we relate many combinatorial parameters of the cycle matroid of the graph and the bond matroid of the dual graph with the topological parameters of the embedding. This will give an expression of the…

Combinatorics · Mathematics 2015-03-17 R. Askanazi , S. Chmutov , C. Estill , J. Michel , P. Stollenwerk

In a balanced graph decomposition, every vertex of the host graph appears in the same number of blocks. We propose the use of colored loops as a framework for unifying various other types of local balance conditions in graph decompositions.…

Combinatorics · Mathematics 2020-02-21 Flora C. Bowditch , Peter J. Dukes

In previous works [physics/0204035, physics/0404052, physics/0509126] a procedure was described for dividing the $3 \times N$-dimensional conformational space of a molecular system into a number of discrete cells, this partition allowed the…

Computational Physics · Physics 2008-12-14 Jacques Gabarro-Arpa

Understanding the global organization of complicated and high dimensional data is of primary interest for many branches of applied sciences. It is typically achieved by applying dimensionality reduction techniques mapping the considered…

Computational Geometry · Computer Science 2024-11-11 Paweł Dłotko , Davide Gurnari , Mathis Hallier , Anna Jurek-Loughrey

A random matrix model to describe the coupling of m-fold symmetry in constructed. The particular threefold case is used to analyze data on eigenfrequencies of elastomechanical vibration of an anisotropic quartz block. It is suggested that…

Data Analysis, Statistics and Probability · Physics 2007-11-18 J. X. Carvalho , M. S. Hussein , M. P. Pato , A. J. Sargeant