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In this paper, we analyze the definition Andr\'e proposed for near-vector spaces to make it more transparent. We also study the class of near-vector spaces over division rings and give a characterization of regularity that gives a new…

Rings and Algebras · Mathematics 2019-12-17 Karin-Therese Howell , Sophie Marques

The traditional concept of space in geography is based on the notion of distance. Where there is a spatial analysis, there is a distance measurement. However, the precondition for effective distance-based space is that the geographical…

Physics and Society · Physics 2020-02-05 Yanguang Chen

Object data analysis is concerned with statistical methodology for datasets whose elements reside in an arbitrary, unspecified metric space. In this work we propose the object shape, a novel measure of shape/symmetry for object data. The…

Statistics Theory · Mathematics 2023-12-19 Joni Virta

The medial axis transform is a well-known tool for shape recognition. Instead of the object contour, it equivalently describes a binary object in terms of a skeleton containing all centres of maximal inscribed discs. While this shape…

Image and Video Processing · Electrical Eng. & Systems 2025-03-06 Julia Gierke , Pascal Peter

Mathematical theory of an observer is elaborated upon the basis of A.Poincare's ideas on the nature of geometry and the role of observer's perceptive space. The said theory is generalizing reference frames theory in GR. Physical structure…

General Relativity and Quantum Cosmology · Physics 2008-10-30 Anna Astakhova , Kirill Goodz , Sergey Kokarev

Many standard structural quantities, such as order parameters and correlation functions, exist for common condensed matter systems, such as spherical and rod-like particles. However, these structural quantities are often insufficient for…

Soft Condensed Matter · Physics 2012-01-18 Aaron S. Keys , Christopher R. Iacovella , Sharon C. Glotzer

Mesh models are a promising approach for encoding the structure of 3D objects. Current mesh reconstruction systems predict uniformly distributed vertex locations of a predetermined graph through a series of graph convolutions, leading to…

Computer Vision and Pattern Recognition · Computer Science 2019-02-01 Edward J. Smith , Scott Fujimoto , Adriana Romero , David Meger

Given a computer model of a physical object, it is often quite difficult to visualize and quantify any global effects on the shape representation caused by local uncertainty and local errors in the data. This problem is further amplified…

Computational Geometry · Computer Science 2009-10-22 Chandrajit Bajaj , Andrew Gillette , Samrat Goswami , Bong June Kwon , Jose Rivera

This chapter introduces OpenStreetMap - a crowd-sourced, worldwide mapping project and geospatial data repository - to illustrate its usefulness in quickly and easily analyzing and visualizing planning and design outcomes in the built…

Physics and Society · Physics 2020-08-28 Geoff Boeing

Conceptual design relies on extensive manipulation of morphological properties of real or virtual objects.This study investigates the nature of the perceptual information that could be retrieved from different representation modalities to…

Human-Computer Interaction · Computer Science 2018-05-22 Chiara Silvestri , Rene Motro , Bernard Maurin , Birgitta Dresp-Langley

Spatial relationships between objects provide important information for text-based image retrieval. As users are more likely to describe a scene from a real world perspective, using 3D spatial relationships rather than 2D relationships that…

Computer Vision and Pattern Recognition · Computer Science 2017-04-13 Ang Li , Jin Sun , Joe Yue-Hei Ng , Ruichi Yu , Vlad I. Morariu , Larry S. Davis

The aim of this paper is to further explore the usefulness of the two-dimensional complexity-entropy causality plane as a texture image descriptor. A multiscale generalization is introduced in order to distinguish between different…

Data Analysis, Statistics and Probability · Physics 2017-05-17 Luciano Zunino , Haroldo V. Ribeiro

The goal of this paper is to take a single 2D image of a scene and recover the 3D structure in terms of a small set of factors: a layout representing the enclosing surfaces as well as a set of objects represented in terms of shape and pose.…

Computer Vision and Pattern Recognition · Computer Science 2018-04-25 Shubham Tulsiani , Saurabh Gupta , David Fouhey , Alexei A. Efros , Jitendra Malik

Understanding spatial openness is vital for improving residential quality and design; however, studies often treat its influencing factors separately. This study developed a quantitative framework to evaluate the spatial openness in housing…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Takuya OKi , Yuan Liu

Built environment auditing refers to the systematic documentation and assessment of urban and rural spaces' physical, social, and environmental characteristics, such as walkability, road conditions, and traffic lights. It is used to collect…

Computer Vision and Pattern Recognition · Computer Science 2025-06-02 Huan Ning , Zhenlong Li , Manzhu Yu , Wenpeng Yin

We consider the problem of approximating a two-dimensional shape contour (or curve segment) using discrete assembly systems, which allow to build geometric structures based on limited sets of node and edge types subject to edge length and…

Computational Geometry · Computer Science 2021-02-03 Andreas M. Tillmann , Leif Kobbelt

Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through dimensionality reduction techniques. However, these…

Computational Geometry · Computer Science 2009-07-16 Emden R. Gansner , Yifan Hu , Stephen G. Kobourov

Context. Images of spatially resolved astrophysical objects contain a wealth of morphological and dynamical information, and effective extraction of this information is of paramount importance for understanding the physics and evolution of…

Instrumentation and Methods for Astrophysics · Physics 2015-05-27 Florent Mertens , Andrei Lobanov

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

A description is an entity that can be interpreted as true or false of an object, and using feature structures as descriptions accrues several computational benefits. In this paper, I create an explicit interpretation of a typed feature…

cmp-lg · Computer Science 2008-02-03 Paul John King