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IEEE Transactions on Visualization and Computer Graphics
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Guest Editors' Introduction: Special Section on IEEE PacificVis 2021
Publication Year: 2021,Page(s):2768 - 2769
Tac-Miner: Visual Tactic Mining for Multiple Table Tennis Matches
Jiachen Wang;Jiang Wu;Anqi Cao;Zheng Zhou;Hui Zhang;Yingcai Wu
Publication Year: 2021,Page(s):2770 - 2782
Cited by: Papers (46)
In table tennis, tactics specified by three consecutive strokes represent the high-level competition strategies in matches. Effective detection and analysis of tactics can reveal the playing styles of players, as well as their strengths and weaknesses. However, tactical analysis in table tennis is challenging as the analysts can often be overwhelmed by the large quantity and high dimension of the ...Show More
SurfRiver: Flattening Stream Surfaces for Comparative Visualization
Publication Year: 2021,Page(s):2783 - 2795
Cited by: Papers (1)
We present SurfRiver, a new visual transformation approach that flattens stream surfaces in 3D to rivers in 2D for comparative visualization. Leveraging the TextFlow-like visual metaphor, SurfRiver untangles the convoluted individual stream surfaces along the flow direction and maps them along the horizontal direction of the abstract river view. It stacks multiple surfaces along the vertical direc...Show More
Smile or Scowl? Looking at Infographic Design Through the Affective Lens
Publication Year: 2021,Page(s):2796 - 2807
Cited by: Papers (24)
Infographics are frequently promoted for their ability to communicate data to audiences affectively. To facilitate the creation of affect-stirring infographics, it is important to characterize and understand people's affective responses to infographics and derive practical design guidelines for designers. To address these research questions, we first conducted two crowdsourcing studies to identify...Show More
Asynchronous and Load-Balanced Union-Find for Distributed and Parallel Scientific Data Visualization and Analysis
Jiayi Xu;Hanqi Guo;Han-Wei Shen;Mukund Raj;Xueyun Wang;Xueqiao Xu;Zhehui Wang;Tom Peterka
Publication Year: 2021,Page(s):2808 - 2820
Cited by: Papers (6)
We present a novel distributed union-find algorithm that features asynchronous parallelism and k-d tree based load balancing for scalable visualization and analysis of scientific data. Applications of union-find include level set extraction and critical point tracking, but distributed union-find can suffer from high synchronization costs and imbalanced workloads across parallel processes. In this ...Show More
On the Readability of Abstract Set Visualizations
Markus Wallinger;Ben Jacobsen;Stephen Kobourov;Martin Nöllenburg
Publication Year: 2021,Page(s):2821 - 2832
Cited by: Papers (5)
Set systems are used to model data that naturally arises in many contexts: social networks have communities, musicians have genres, and patients have symptoms. Visualizations that accurately reflect the information in the underlying set system make it possible to identify the set elements, the sets themselves, and the relationships between the sets. In static contexts, such as print media or infog...Show More
A Progressive Approach to Scalar Field Topology
Publication Year: 2021,Page(s):2833 - 2850
Cited by: Papers (5)
This article introduces progressive algorithms for the topological analysis of scalar data. Our approach is based on a hierarchical representation of the input data and the fast identification of topologically invariant vertices, which are vertices that have no impact on the topological description of the data and for which we show that no computation is required as they are introduced in the hier...Show More
Anisotropic Denoising of 3D Point Clouds by Aggregation of Multiple Surface-Adaptive Estimates
Publication Year: 2021,Page(s):2851 - 2868
Cited by: Papers (18)
3D point clouds commonly contain positional errors which can be regarded as noise. We propose a point cloud denoising algorithm based on aggregation of multiple anisotropic estimates computed on local coordinate systems. These local estimates are adaptive to the shape of the surface underlying the point cloud, leveraging an extension of the Local Polynomial Approximation (LPA) - Intersection of Co...Show More
CMed: Crowd Analytics for Medical Imaging Data
Ji Hwan Park;Saad Nadeem;Saeed Boorboor;Joseph Marino;Arie Kaufman
Publication Year: 2021,Page(s):2869 - 2880
Cited by: Papers (5)
We present a visual analytics framework, CMed, for exploring medical image data annotations acquired from crowdsourcing. CMed can be used to visualize, classify, and filter crowdsourced clinical data based on a number of different metrics such as detection rate, logged events, and clustering of the annotations. CMed provides several interactive linked visualization components to analyze the crowd ...Show More
Computational Design of Skinned Quad-Robots
Xudong Feng;Jiafeng Liu;Huamin Wang;Yin Yang;Hujun Bao;Bernd Bickel;Weiwei Xu
Publication Year: 2021,Page(s):2881 - 2895
Cited by: Papers (4)
We present a computational design system that assists users to model, optimize, and fabricate quad-robots with soft skins. Our system addresses the challenging task of predicting their physical behavior by fully integrating the multibody dynamics of the mechanical skeleton and the elastic behavior of the soft skin. The developed motion control strategy uses an alternating optimization scheme to av...Show More
Digital Surface Regularization With Guarantees
Publication Year: 2021,Page(s):2896 - 2907
Cited by: Papers (4)
Voxel based modeling is a very attractive way to represent complex multi-material objects. Beside artistic choices of pixel/voxel arts, representing objects as voxels allows efficient and dynamic interactions with the scene. For geometry processing purposes, many applications in material sciences, medical imaging or numerical simulation rely on a regular partitioning of the space with labeled voxe...Show More
DimLift: Interactive Hierarchical Data Exploration Through Dimensional Bundling
Laura Garrison;Juliane Müller;Stefanie Schreiber;Steffen Oeltze-Jafra;Helwig Hauser;Stefan Bruckner
Publication Year: 2021,Page(s):2908 - 2922
Cited by: Papers (6)
The identification of interesting patterns and relationships is essential to exploratory data analysis. This becomes increasingly difficult in high dimensional datasets. While dimensionality reduction techniques can be utilized to reduce the analysis space, these may unintentionally bury key dimensions within a larger grouping and obfuscate meaningful patterns. With this work we introduce DimLift,...Show More
Dynamic Voronoi Diagram for Moving Disks
Publication Year: 2021,Page(s):2923 - 2940
Cited by: Papers (4)
Voronoi diagrams are powerful for understanding spatial properties. However, few reports have been made for moving generators despite their important applications. We present a topology-oriented event-increment (TOI-E) algorithm for constructing a Voronoi diagram of moving circular disks in the plane over the time horizon $[0, t^{\infty })$[0,t∞). The proposed TOI-E algorithm computes the event hi...Show More
Gaze-Driven Adaptive Interventions for Magazine-Style Narrative Visualizations
Publication Year: 2021,Page(s):2941 - 2952
Cited by: Papers (17)
In this article, we investigate the value of gaze-driven adaptive interventions to support the processing of textual documents with embedded visualizations, i.e., Magazine Style Narrative Visualizations (MSNVs). These interventions are provided dynamically by highlighting relevant data points in the visualization when the user reads related sentences in the MSNV text, as detected by an eye-tracker...Show More
Integrated Dual Analysis of Quantitative and Qualitative High-Dimensional Data
Juliane Muller;Laura Garrison;Philipp Ulbrich;Stefanie Schreiber;Stefan Bruckner;Helwig Hauser;Steffen Oeltze-Jafra
Publication Year: 2021,Page(s):2953 - 2966
Cited by: Papers (4)
The Dual Analysis framework is a powerful enabling technology for the exploration of high dimensional quantitative data by treating data dimensions as first-class objects that can be explored in tandem with data values. In this article, we extend the Dual Analysis framework through the joint treatment of quantitative (numerical) and qualitative (categorical) dimensions. Computing common measures f...Show More
Modeling Data-Driven Dominance Traits for Virtual Characters Using Gait Analysis
Tanmay Randhavane;Aniket Bera;Emily Kubin;Kurt Gray;Dinesh Manocha
Publication Year: 2021,Page(s):2967 - 2979
Cited by: Papers (11)
We present a data-driven algorithm for generating gaits of virtual characters with varying dominance traits. Our formulation utilizes a user study to establish a data-driven dominance mapping between gaits and dominance labels. We use our dominance mapping to generate walking gaits for virtual characters that exhibit a variety of dominance traits while interacting with the user. Furthermore, we ex...Show More
Net2Vis – A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations
Publication Year: 2021,Page(s):2980 - 2991
Cited by: Papers (44)
To convey neural network architectures in publications, appropriate visualizations are of great importance. While most current deep learning papers contain such visualizations, these are usually handcrafted just before publication, which results in a lack of a common visual grammar, significant time investment, errors, and ambiguities. Current automatic network visualization tools focus on debuggi...Show More
Planar Abstraction and Inverse Rendering of 3D Indoor Environments
Publication Year: 2021,Page(s):2992 - 3006
Cited by: Papers (3)
Scanning and acquiring a 3D indoor environment suffers from complex occlusions and misalignment errors. The reconstruction obtained from an RGB-D scanner contains holes in geometry and ghosting in texture. These are easily noticeable and cannot be considered as visually compelling VR content without further processing. On the other hand, the well-known Manhattan World priors successfully recreate ...Show More
PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
Lin Gao;Ling-Xiao Zhang;Hsien-Yu Meng;Yi-Hui Ren;Yu-Kun Lai;Leif Kobbelt
Publication Year: 2021,Page(s):3007 - 3018
Cited by: Papers (26)
In geometry processing, symmetry is a universal type of high-level structural information of 3D models and benefits many geometry processing tasks including shape segmentation, alignment, matching, and completion. Thus it is an important problem to analyze various symmetry forms of 3D shapes. Planar reflective symmetry is the most fundamental one. Traditional methods based on spatial sampling can ...Show More
Revisiting Spatio-Angular Trade-off in Light Field Cameras and Extended Applications in Super-Resolution
Hao Zhu;Mantang Guo;Hongdong Li;Qing Wang;Antonio Robles-Kelly
Publication Year: 2021,Page(s):3019 - 3033
Cited by: Papers (29)
Light field cameras (LFCs) have received increasing attention due to their wide-spread applications. However, current LFCs suffer from the well-known spatio-angular trade-off, which is considered an inherent and fundamental limit for LFC designs. In this article, by doing a detailed optical analysis of the sampling process in an LFC, we show that the effective resolution is generally higher than t...Show More
Shape-Driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning
Ruizhen Hu;Bin Chen;Juzhan Xu;Oliver van Kaick;Oliver Deussen;Hui Huang
Publication Year: 2021,Page(s):3034 - 3047
Cited by: Papers (5)
We present a neural optimization model trained with reinforcement learning to solve the coordinate ordering problem for sets of star glyphs. Given a set of star glyphs associated to multiple class labels, we propose to use shape context descriptors to measure the perceptual distance between pairs of glyphs, and use the derived silhouette coefficient to measure the perception of class separability ...Show More
The Making of Continuous Colormaps
Pascal Nardini;Min Chen;Francesca Samsel;Roxana Bujack;Michael Böttinger;Gerik Scheuermann
Publication Year: 2021,Page(s):3048 - 3063
Cited by: Papers (18)
Continuous colormaps are integral parts of many visualization techniques, such as heat-maps, surface plots, and flow visualization. Despite that the critiques of rainbow colormaps have been around and well-acknowledged for three decades, rainbow colormaps are still widely used today. One reason behind the resilience of rainbow colormaps is the lack of tools for users to create a continuous colorma...Show More
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution
Publication Year: 2021,Page(s):3064 - 3078
Cited by: Papers (39)
Rendering an accurate image of an isosurface in a volumetric field typically requires large numbers of data samples. Reducing this number lies at the core of research in volume rendering. With the advent of deep learning networks, a number of architectures have been proposed recently to infer missing samples in multidimensional fields, for applications such as image super-resolution. In this artic...Show More
VR Disability Simulation Reduces Implicit Bias Towards Persons With Disabilities
Tanvir Irfan Chowdhury;Sharif Mohammad Shahnewaz Ferdous;John Quarles
Publication Year: 2021,Page(s):3079 - 3090
Cited by: Papers (23)
This article investigates how experiencing Virtual Reality (VR) Disability Simulation (DS) affects information recall and participants’ implicit association towards people with disabilities (PwD). Implicit attitudes are our actions or judgments towards various concepts or stereotypes (e.g., race) which we may or may not be aware of. Previous research has shown that experiencing ownership over a da...Show More
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