Search Results - Methodology and Techniques - Graphics data structures and data types Interaction techniques

Manipulating, Deforming and Animating Sampled Object Representations by Chen, M., Correa, C., Islam, S., Jones, M. W., Shen, P.-Y., Silver, D., Walton, S. J., Willis, P. J.

“…A sampled object representation (SOR) defines a graphical model using data obtained from a sampling process, which takes a collection of samples at discrete positions in space in order to capture certain geometrical and physical…”
Get full text

Networks of Names: Visual Exploration and Semi-Automatic Tagging of Social Networks from Newspaper Articles by Kochtchi, A., Landesberger, T. von, Biemann, C.

“…Understanding relationships between people and organizations by reading newspaper articles is difficult to manage for humans due to the large amount of data…”
Get full text

State of the Art in Edge and Trail Bundling Techniques by Lhuillier, A., Hurter, C., Telea, A.

“…Bundling techniques provide a visual simplification of a graph drawing or trail set, by spatially grouping similar graph edges or trails…”
Get full text

Structural Analysis of Multivariate Point Clouds Using Simplicial Chains by Rieck, B., Leitte, H.

“… By combining both types of methods, we want to benefit from their individual advantages. To this end, we describe an algorithm that uses persistent homology to analyse the topology of a data set…”
Get full text

A GPU‐Adapted Structure for Unstructured Grids by Zayer, Rhaleb, Steinberger, Markus, Seidel, Hans‐Peter

“… This is not much so for unstructured grids where intermediate bookkeeping data structures stand in the way…”
Get full text

Comprehensible Visualization for Augmented Reality by Kalkofen, D., Mendez, E., Schmalstieg, D.

“… To enhance the clarity of such relationships we discuss visualization techniques and their suitability for AR…”
Get full text

Interactive Modeling and Authoring of Climbing Plants by Hädrich, Torsten, Benes, Bedrich, Deussen, Oliver, Pirk, Sören

“… Each particle stores biological and physical attributes that drive growth and plant adaptation to the environment such as light sensitivity, wind interaction, and physical obstacles…”
Get full text

PaperVis: Literature Review Made Easy by Chou, J. -K., Yang, C. -K.

“…‐reference structures among a specific group of papers. We modify the existing Radial Space Filling (RSF…”
Get full text

VisANT: an online visualization and analysis tool for biological interaction data by Hu, Zhenjun, Mellor, Joseph, Wu, Jie, DeLisi, Charles

“… We present VisANT, an application for integrating biomolecular interaction data into a cohesive, graphical interface…”
Get full text

Variational Tree Synthesis by Wang, Rui, Yang, Yinhui, Zhang, Hongxin, Bao, Hujun

“… In addition, to faithfully capture the branch structure of trees, several botanical factors, including the minimum total branches volume and spatial branches patterns, are considered…”
Get full text

An infrastructure for realizing custom-tailored augmented reality user interfaces by Broll, W., Lindt, I., Ohlenburg, J., Herbst, I., Wittkamper, M., Novotny, T.

“… However, the development of AR user interfaces and appropriate interaction techniques remains a complex and time-consuming task…”
Get full text

Research methods in human-computer interaction by Lazar, Jonathan, Feng, Jinjuan Heidi, Hochheiser, Harry

“…A comprehensive guide for both quantitative and qualitative research methods, this book on the discipline of human-computer interaction (HCI…”
Get full text

Detailed Rigid Body Simulation with Extended Position Based Dynamics by Müller, Matthias, Macklin, Miles, Chentanez, Nuttapong, Jeschke, Stefan, Kim, Tae‐Yong

“…We present a rigid body simulation method that can resolve small temporal and spatial details by using a quasi explicit integration scheme that is…”
Get full text

Methods, Databases and Recent Advancement of Vision-Based Hand Gesture Recognition for HCI Systems: A Review by Sarma, Debajit, Bhuyan, M. K.

“…–augmented reality and so on. The underlying undertaking of a hand gesture-based HCI framework is to acquire raw data which can be accomplished fundamentally by two methodologies…”
Get full text

Interactive visual comparison of multiple trees by Bremm, S., von Landesberger, T., Hess, M., Schreck, T., Weil, P., Hamacherk, K.

“…; for example, based on different input data, such as the 16S ribosomal RNA and protein…”
Get full text

A Distributed Approach for Automatic Speed Adjustment During Navigation in 3D Multiscale Virtual Environments by Taunay, Henrique, Medeiros, Daniel, Raposo, Alberto

“…). Due to its complexity and diverging levels of scale, this type of environment could be accessed using its hierarchical structure to navigate between the levels of scale…”
Get full text

Hierarchical graph representations in digital pathology by Pati, Pushpak, Jaume, Guillaume, Foncubierta-Rodríguez, Antonio, Feroce, Florinda, Anniciello, Anna Maria, Scognamiglio, Giosue, Brancati, Nadia, Fiche, Maryse, Dubruc, Estelle, Riccio, Daniel, Di Bonito, Maurizio, De Pietro, Giuseppe, Botti, Gerardo, Thiran, Jean-Philippe, Frucci, Maria, Goksel, Orcun, Gabrani, Maria

“… (cells and tissue-regions) as well as the intra- and inter-entity level interactions.•HACT-Net: A hierarchical graph neural network to operate on the hierarchical entity-graph representation to map the tissue structure to tissue functionality…”
Get full text

Real Time P2P Network Simulation for Very Large Virtual Environment by Cavagna, Romain, Bouville, Christian, Royan, Jerome

“… Our method takes advantage of a hierarchical and progressive data structure that describes the environment…”
Get full text

Microplastics in aquatic systems: A comprehensive review of its distribution, environmental interactions, and health risks by Pal, Divya, Prabhakar, Roshan, Barua, Visva Bharati, Zekker, Ivar, Burlakovs, Juris, Krauklis, Andrejs, Hogland, William, Vincevica-Gaile, Zane

“… MPs arise from the breakdown of larger plastics, degraded by photodegradation, thermal degradation, and biological processes, which are influenced by polymer type and environmental factors…”
Get full text

Bayesian Structure Learning in Multilayered Genomic Networks by Ha, Min Jin, Stingo, Francesco Claudio, Baladandayuthapani, Veerabhadran

“… disease domains including cancer. The basic data structure consists of a sequence of hierarchically ordered datasets for each individual subject, which facilitates integration of diverse inputs, such as genomic, transcriptomic, and proteomic data…”
Get full text