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About 10,000 papers for “geometric visualization”

Geometric algorithm visualization

Marcel Kikta · Digital Repository (National Repository of Grey Literature) · 2012

This thesis deals with designing programming language, compiler and~intepreter assigned for visualization of geometric algorithms. Emphasis is put on designing the simplest language and on quality of visualization environment. During compiler implementation a syntactic LL(1) parser generator was created. As a demonstration of functionality thesis contains implementation of some geometric algorithms written in designed language.

Cited by 0

Geometric manifold comparison visualization

Eloy Geenjaar (21533195), Donghyun Kim (179170), Vince Calhoun (240254) · Figshare · 2025

<div> Approaches studying the dynamics of resting-state functional magnetic resonance imaging (rs-fMRI) activity often focus on time-resolved functional connectivity (tr-FC). While many tr-FC approaches have been proposed, most are linear approaches, e.g. computing the linear correlation at a timestep or within a window. In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. This has the advantage of allowing our model to capture differences at multiple temporal scales. We find that by separating out temporal scales our model’s window-specific embeddings, or as we refer to them, context embeddings, more accurately separate windows from schizophrenia patients and control subjects than baseline models and the standard tr-FC approach in a low-dimensional space. Moreover, we find that for individuals with schizophrenia, our model’s context embedding space is significantly correlated with both age and symptom severity. Interestingly, patients appear to spend more time in three clusters, one closer to controls which shows increased visual-sensorimotor, cerebellar-subcortical, and reduced cerebellar-visual functional network connectivity (FNC), an intermediate station showing increased subcortical-sensorimotor FNC, and one that shows decreased visual-sensorimotor, decreased subcortical-sensorimotor, and increased visual-subcortical domains. We verify that our model captures features that are complementary to - but not the same as - standard tr-FC features. Our model can thus help broaden the neuroimaging toolset in analyzing fMRI dynamics and shows potential as an approach for finding psychiatric links that are more sensitive to individual and group characteristics. </div>

Cited by 0Open access

Dense Geometric Flow Visualization

Sung W. Park, Brian Budge, Lars Linsen et al. · Eurographics · 2005

We present a flow visualization technique based on rendering geometry in a dense, uniform distribution. Flow is integrated using particle advection. By adopting ideas from texture-based techniques and taking advantage of parallelism and programmability of contemporary graphics hardware, we generate streamlines and pathlines addressing both steady and unsteady flow. Pipelining is used to manage seeding, advection, and expiration of streamlines/ pathlines with constant lifetime. We achieve high numerical accuracy by enforcing short particle lifetimes and employing a fourth-order integration method. The occlusion problem inherent to dense volumetric representations is addressed by applying multi-dimensional transfer functions (MDTFs), restricting particle attenuation to regions of certain physical behavior, or features. Geometry is rendered in graphics hardware using techniques such as depth sorting, illumination, haloing, flow orientation, and depth-based color attenuation to enhance visual perception. We achieve dense geometric three-dimensional flow visualization with interactive frame rates.

Cited by 12Open access

Visualization of geometric attractor activity.

Jairo A. Díaz (37217), Mauricio F. Murillo (37219), Natalia A. Jaramillo (37218) · Figshare · 2015

&lt;p&gt;Outside malignant tumors. Panel A. Schematic spatial organization of image in Panel B. Panel B. Shows Melanoma tumor. Observe on left the circular black lesion and hair loss which are integrated on the right contralateral “healthy” zone with a mirror triangular attractor, where a white lesion can be identified. High hair density lay in a helicoidal pattern. Panels C, D. Shows Squamous cancer cell tumor. Observe how in exactly “Healthy” contralateral position a clearly discernable lesion appears.&lt;/p&gt;

Cited by 0Open access

Distance visualization for geometric analysis

Ullrich, Torsten, Settgast, Volker, Fellner, Dieter W. · Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) · 2008

The need to analyze and visualize differences of very similar objects arises in many research areas: mesh compression, scan alignment, nominal/actual value comparison, quality management, and surface reconstruction to name a few. Although the problem to visualize some distances may sound simple, the creation of a good scene setup including the geometry, materials, colors, and the representation of distances is challenging. Our contribution to this problem is an application which optimizes the work-flow to visualize distances. We propose a new classification scheme to group typical scenarios. For each scenario we provide reasonable defaults for color tables, material settings, etc. Completed with predefined file exporters, which are harmonized with commonly used rendering and viewing applications, the presented application is a valuable tool. Based on web technologies it works out-of-the-box and does not need any configuration or installation. All users who have to analyze and document 3D geometry will stand to benefit from our new application.

Cited by 0

SU2-Geometric-Phase-Visualization-Code

Li, Haiyang · Zenodo (CERN European Organization for Nuclear Research) · 2025

SU2-Geometric-Phase-Visualization-Code This repository contains the code and demonstration videos used in the paper “Visualized Geometric Phase of Caustic Geometric Beams.” It includes:- Code for geometric-phase extraction and data fitting - Demonstration videos showing the evolution of feature lines (feature lines) with the geometric phase (Note: The parameters (p, q) shown in the videos correspond to (s, t) in the main manuscript.)

Cited by 0Open access

Visualization of Geometric Spanner Algorithms

Mohammad Farshi, Seyed Hossein Hosseini · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2016

It is easier to understand an algorithm when it can be seen in interactive mode. The current study implemented four algorithms to construct geometric spanners; the path-greedy, gap-greedy, Theta-graph and Yao-graph algorithms. The data structure visualization framework (http://www.cs.usfca.edu/~galles/visualization/) developed by David Galles was used. Two features were added to allow its use in spanner algorithm visualization: support point-based algorithms and export of the output to Ipe drawing software format. The interactive animations in the framework make steps of visualization beautiful and media controls are available to manage the animations. Visualization does not require extensions to be installed on the web browser. It is available at http://cs.yazd.ac.ir/cgalg/AlgsVis/.

Cited by 1Open access

SU2-Geometric-Phase-Visualization-Code

Li, Haiyang · Zenodo (CERN European Organization for Nuclear Research) · 2025

SU2-Geometric-Phase-Visualization-Code This repository contains the code and demonstration videos used in the paper “Visualized Geometric Phase of Caustic Geometric Beams.” It includes:- Code for geometric-phase extraction and data fitting - Demonstration videos showing the evolution of feature lines (feature lines) with the geometric phase (Note: The parameters (p, q) shown in the videos correspond to (s, t) in the main manuscript.)

Cited by 1Open access

Information Visualization - Biomedical Visualization and Geometric Modelling &amp; Imaging

Ebad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, Nuno Datia, João Moura Pires, Rita Francese, Muhammad Sarfraz, Theodor G Wyeld, Fatma Bouali, Gilles Venturin, Hanane Azzag, Mustapha Lebbah, Marjan Trutschl, Urska Cvek, Heimo Müller, Minoru Nakayama, Sebastian Kernbach, Loredana Caruccio, Michele Risi, Ugo Erra, Autilia Vitiello, and Veronica Rossano, Banissi, Ebad, Ursyn, Anna et al. · CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) · 2019

Cited by 0

Geometric Visualization of a PolygonArea Partitioning

Todor Balabanov, Stanislav Darachev, Ivan Jordanov et al. · Goce Delchev University Repository (Goce Delčev University of Štip) · 2017

In the process of modeling sewerage networks, the main component is the drained area (catchment) from which water is collected to each conduit (pipe). If the area for a single sub-catchment is derived from a mathematical model, we have to create the geometry of that territory, Exactly, in this paper, we want to make geometric visualization for partitioning of a given living area, with respect to the known water debit, relative to each pipe. If each pipe is represent as edges and these edges formed polygon then our main goal is to make geometric visualization of a polygon area partitioning.

Cited by 0Open access

Abstand: Distance Visualization for Geometric Analysis

Torsten Ullrich, Volker Settgast, Dieter W. Fellner · TUbilio (Technical University of Darmstadt) · 2008

The need to analyze and visualize differences of very similar objects arises in many research areas: mesh compression, scan alignment, nominal/actual value comparison, quality management, and surface reconstruction to name a few. Although the problem to visualize some distances may sound simple, the creation of a good scene setup including the geometry, materials, colors, and the representation of distances is challenging. Our contribution to this problem is an application which optimizes the work-flow to visualize distances. We propose a new classification scheme to group typical scenarios. For each scenario we provide reasonable defaults for color tables, material settings, etc. Completed with predefined file exporters, which are harmonized with commonly used rendering and viewing applications, the presented application is a valuable tool. Based on web technologies it works out-of-the-box and does not need any configuration or installation. All users who have to analyze and document 3D geometry will stand to benefit from our new application.

Cited by 1

Querying and visualization of geometric data

Edward P. F. Chan, Jonathan M. T. Wong · 1996

This paper describes the retrieval, browsing and visualization of data for a spatial database system developed at the University of Waterloo. The prototype, called QL/G, supports geometric data types like general regions, lines and points as built-in data types. A Graphical User Interface (GUI), written in X/Motif and a persistent version of C++, is provided for users as an effective tool for querying and visualizing data retrieved. The interface is simple, user-friendly and flexible, and provides the necessary functionality identified in existing literature for geographic applications.

Cited by 4Open access

Virtual Gait Visualization based on Geometric Kinematics

Juan-Carlos González-Islas, Omar A. Domínguez-Ramírez, Omar López‐Ortega et al. · 2021

Biomechanical modeling of the human body and scientific visualization are widely used tools for gait analysis. In this study, we propose a framework for the scientific visualization of the human gait cycle based on the geometric inverse kinematics of position (GIK) of an 8 degrees of freedom (DoF). The coordinates of the joint references in gait space used as input were obtained in a previous work using quaternions algebra (QFK). Subsequently, the joint angles obtained by the GIK method were used to make a 3D animation of the normal gait cycle in Maya Autodesk. To validate the inverse kinematics and the animation, the well-known OpenSim platform was used as a reference. The results obtained are of special interest to the end-user in clinical settings, since they can be used to improve the diagnoses of gait diseases and their inherent treatments.

Cited by 1

Development of a Geometric Spatial Visualization Tool

Bibi Ganesh, Jennifer Wilhelm, Sonya E. Sherrod · School Science and Mathematics · 2009

This paper documents the development of the Geometric Spatial Assessment. We detail the development of this instrument which was designed to identify middle school students' strategies and advancement in understanding of four geometric concept domains (geometric spatial visualization, spatial projection, cardinal directions, and periodic patterns) after experiencing a carefully designed integrated lunar unit. Previous research with students using this lunar unit showed students making significant gains on lunar‐related concepts (both scientific and mathematical) on a Lunar Phases Concept Inventory (LPCI) ( Lindell &amp; Olsen, 2002 ). Following the administration of single domain assessments, clinical interviews were conducted to ascertain students' problem solving strategies. Results allowed us to select four suitable multiple‐choice items per domain.

Cited by 6

Visualization of Geometric Images in Robotics Clubs

Айвазян, А. В., Ayvazyan, H. V. · Electronic Archive of the Russian State Pedagogical University (Russian State Vocational Pedagogical University) · 2021

Исследование основано на оценке эффективности компьютерной визуализации с точки зрения развития способностей и возможностей школьников. Оно позволяет с применением практических примеров улучшить восприятие и изучение учениками геометрических изображений, а так же их строение.

Cited by 0Open access