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Related papers: Integrated shape-sensitive functional metrics

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Functional Asplund's metrics were recently introduced to perform pattern matching robust to lighting changes thanks to double-sided probing in the Logarithmic Image Processing (LIP) framework. Two metrics were defined, namely the…

Computer Vision and Pattern Recognition · Computer Science 2019-07-18 Guillaume Noyel

We propose a novel 3D spatial representation for data fusion and scene reconstruction. Probabilistic Signed Distance Function (Probabilistic SDF, PSDF) is proposed to depict uncertainties in the 3D space. It is modeled by a joint…

Robotics · Computer Science 2018-07-31 Wei Dong , Qiuyuan Wang , Xin Wang , Hongbin Zha

New low-order $H(\textrm{div})$-conforming finite elements for symmetric tensors are constructed in arbitrary dimension. The space of shape functions is defined by enriching the symmetric quadratic polynomial space with the $(d+1)$-order…

Numerical Analysis · Mathematics 2024-02-22 Xuehai Huang , Chao Zhang , Yaqian Zhou , Yangxing Zhu

Implicit representations of geometry, such as occupancy fields or signed distance fields (SDF), have recently re-gained popularity in encoding 3D solid shape in a functional form. In this work, we introduce medial fields: a field function…

Graphics · Computer Science 2021-06-08 Daniel Rebain , Ke Li , Vincent Sitzmann , Soroosh Yazdani , Kwang Moo Yi , Andrea Tagliasacchi

Many procedures in science, engineering and medicine produce data in the form of geometric shapes. Mathematically, a shape can be modeled as an un-parameterized immersed sub-manifold, which is the notion of shape used here. Endowing shape…

Differential Geometry · Mathematics 2012-11-16 Philipp Harms

A functional distance ${\mathbb H}$, based on the Hausdorff metric between the function hypographs, is proposed for the space ${\mathcal E}$ of non-negative real upper semicontinuous functions on a compact interval. The main goal of the…

Statistics Theory · Mathematics 2015-09-17 Alejandro Cholaquidis , Antonio Cuevas , Ricardo Fraiman

Majority of the current dimensionality reduction or retrieval techniques rely on embedding the learned feature representations onto a computable metric space. Once the learned features are mapped, a distance metric aids the bridging of gaps…

Computer Vision and Pattern Recognition · Computer Science 2018-10-17 Muhammad Kamran Janjua , Shah Nawaz , Alessandro Calefati , Ignazio Gallo

In this work, a method for the simulation of guided wave propagation in solids defined by implicit surfaces is presented. The method employs structured grids of spectral elements in combination to a fictitious domain approach to represent…

Computational Engineering, Finance, and Science · Computer Science 2022-07-08 Sergio Nicoli , Konstantinos Agathos , Eleni Chatzi

The aim of the present article is to give an introduction to the concept of quasi-unitary equivalence and to define several (pseudo-)metrics on the space of self-adjoint operators acting possibly in different Hilbert spaces. As some of the…

Functional Analysis · Mathematics 2025-04-30 Olaf Post , Jan Simmer

This article deals with the existence of hypersurfaces minimizing general shape functionals under certain geometric constraints. We consider as admissible shapes orientable hypersurfaces satisfying a so-called reach condition, also known as…

Analysis of PDEs · Mathematics 2022-06-10 Yannick Privat , Rémi Robin , Mario Sigalotti

We introduce a new intrinsic metric in subdomains of a metric space and give upper and lower bounds for it in terms of well-known metrics. We also prove distortion results for this metric under quasiregular maps.

Complex Variables · Mathematics 2021-04-05 Masayo Fujimura , Marcelina Mocanu , Matti Vuorinen

We introduce a hypertopology, induced by an inframetric up to full quantum isometry, on the class of pointed proper quantum metric spaces, which are separable, possibly non-unital, C*-algebras endowed with an analogue of the Lipschitz…

Operator Algebras · Mathematics 2025-12-04 Frederic Latremoliere

The distortion of six different intrinsic metrics and quasi-metrics under conformal and quasiregular mappings is studied in a few simple domains $G\subsetneq\mathbb{R}^n$. The already known inequalities between the hyperbolic metric and…

Metric Geometry · Mathematics 2023-03-16 Oona Rainio

This paper presents a novel method for modeling the shape of a continuum robot as a Neural Configuration Euclidean Distance Function (N-CEDF). By learning separate distance fields for each link and combining them through the kinematics…

Robotics · Computer Science 2025-02-28 Kehan Long , Hardik Parwana , Georgios Fainekos , Bardh Hoxha , Hideki Okamoto , Nikolay Atanasov

High fidelity representation of shapes with arbitrary topology is an important problem for a variety of vision and graphics applications. Owing to their limited resolution, classical discrete shape representations using point clouds, voxels…

Computer Vision and Pattern Recognition · Computer Science 2020-12-15 Rahul Venkatesh , Sarthak Sharma , Aurobrata Ghosh , Laszlo Jeni , Maneesh Singh

Using the notion of formal ball, we present a few new results in the theory of quasi-metric spaces. With no specific order: every continuous Yoneda-complete quasi-metric space is sober and convergence Choquet-complete hence Baire in its…

General Topology · Mathematics 2023-06-22 Jean Goubault-Larrecq , Kok Min Ng

We develop integration theory for integrating functions taking values into a Dedekind complete unital $f$-algebra $\mathbb{L}$ with respect to $\mathbb{L}$-valued measures. We then discuss and prove completeness results of…

Functional Analysis · Mathematics 2025-09-09 Xingni Jiang , Jan Harm van der Walt , Marten Wortel

This paper introduces a new method to tackle the issue of the almost sure convergence of stochastic approximation algorithms defined from a differential inclusion. Under the assumption of slowly decaying step-sizes, we establish that the…

Optimization and Control · Mathematics 2023-12-05 Pascal Bianchi , Rodolfo Rios-Zertuche

We show that rough isometries between metric spaces X, Y can be lifted to the spaces of real valued 1-Lipschitz functions over X and Y with supremum metric and apply this to their scaling limits. For the inverse, we show how rough…

Metric Geometry · Mathematics 2007-10-08 Andreas Lochmann

Let $(X, d)$ be a compact metric space and let $\mathcal{M}(X)$ denote the space of all finite signed Borel measures on $X$. Define $I \colon \mathcal{M}(X) \to \R$ by \[ I(\mu) = \int_X \int_X d(x,y) d\mu(x) d\mu(y), \] and set $M(X) =…

Metric Geometry · Mathematics 2008-09-05 Peter Nickolas , Reinhard Wolf