Article
Computer Science, Software Engineering
Christoph Neuhauser, Junpeng Wang, Rudiger Westermann
Summary: In this work, an advanced GPU shader functionality is utilized to generate a focus+context rendering that highlights selected elements and conveys the global mesh structure and deformation field simultaneously. This method provides a gradual transition from edge-based focus rendering to volumetric context rendering, utilizing fragment shader-based techniques and per-pixel fragment lists. The user can guide the exploration process using a lens-like hotspot, and interactive frame rates are achieved even for large meshes thanks to GPU processing.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Jared Jessup, Robert Krueger, Simon Warchol, John Hoffer, Jeremy Muhlich, Cecily C. Ritch, Giorgio Gaglia, Shannon Coy, Yu-An Chen, Jia-Ren Lin, Sandro Santagata, Peter K. Sorger, Hanspeter Pfister
Summary: Inspection of tissues using a light microscope is crucial for diagnosing diseases like cancer, but there are challenges in visualizing and analyzing the vast amount of image data. Scope2Screen is a scalable software system developed to explore and annotate high-plex tissue images, aiding in the discovery of cancer-relevant image features.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Computer Science, Software Engineering
Tom Horak, Philip Berger, Heidrun Schumann, Raimund Dachselt, Christian Tominski
Summary: Responsive matrix cells are local zoomable regions in a matrix that offer auxiliary facilities for data exploration and editing for multivariate graphs, adapting their visual contents based on cell location, available display space, and user tasks.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Information Systems
Kaisi Yang, Lianyu Zhao, Chenglin Wang
Summary: Virtual datasets have the potential to overcome the limitations of real datasets in industrial applications. This study expands a small sample dataset of sprayed workpieces using virtual datasets and improves the model's performance.
MULTIMEDIA SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Rufu Qin, Bin Feng, Zhounan Xu, Yusheng Zhou, Lixin Liu, Yineng Li
Summary: The study utilized open-source visualization technologies to create a browser-based 3D visualization framework, providing users with 3D GIS experiences and efficient volume rendering and analysis. Experimental results demonstrate that this approach allows for quick establishment of 3D visualization applications without the need for complex programming and computations. Case studies suggest that this method is a feasible alternative for web-based 3D visualization with faster rendering speeds, high visual effects, and real-time visualization of oceanographic data.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Software Engineering
Alejandro Martin-Gomez, Jakob Weiss, Andreas Keller, Ulrich Eck, Daniel Roth, Nassir Navab
Summary: Comparing depth estimation between VST and OST HMDs, it was found that visualizations cannot be directly transferred to OST displays without increasing error in depth perception tasks. By structurally decomposing the visual properties of AR F+C methods, better-performing combinations were identified, such as using chromatic shadows and hatching approaches transferred from computer graphics.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Computer Science, Artificial Intelligence
Wilson E. Marcilio-Jr, Danilo M. Eler, Fernando Paulovich, Jose F. Rodrigues-Jr, Almir O. Artero
Summary: In this study, a scatter plot-based multilevel approach is proposed to display dimensionality reduction results and address clutter-related problems in visualizing large datasets. The technique uses sampling selection on scatter plots to reduce visual clutter and guide users through exploratory tasks. The effectiveness of the approach is demonstrated through a use case and a user experiment.
Article
Computer Science, Software Engineering
Jun Han, Chaoli Wang
Summary: CoordNet is a coordinate-based framework that tackles various tasks related to time-varying volumetric data visualization without modifying the network architecture. The method achieves this by decomposing the inputs and outputs into a unified representation and learning a function from coordinates to values. Experimental results show that CoordNet outperforms state-of-the-art approaches in data generation and visualization tasks.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Computer Science, Software Engineering
Qi Jiang, Guodao Sun, Yue Dong, Ronghua Liang
Summary: The study introduces a focus+context answer generation approach and a query recommendation algorithm to address incomplete user queries and provide in-depth exploration and contextual information. Using the system DT2VIS can help users more easily achieve their analysis goals.
IEEE COMPUTER GRAPHICS AND APPLICATIONS
(2021)
Article
Computer Science, Information Systems
Wenqiang Cui, Girts Strazdins, Hao Wang
Summary: Varied edge bundling methods have been used to reduce visual clutter in parallel coordinates plots (PCP). However, existing edge-bundled PCP do not scale well for visual analysis of multidimensional big data and often overplot the bundles in the area near the axes. In this study, we propose a scalable lightweight bundling method to support visual analysis of multidimensional big data in PCP.
IEEE TRANSACTIONS ON BIG DATA
(2023)
Article
Robotics
Giseop Kim, Sunwook Choi, Ayoung Kim
Summary: This article addresses structural place recognition through a rotation invariant spatial descriptor and introduces subdescriptors for topological place retrieval followed by 1-degree of freedom semimetric localization, bridging the gap between topological place retrieval and metric localization. The proposed method has been thoroughly evaluated in terms of environmental complexity and scale, with available source code for integration into existing systems.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Luiz Felipe Netto, Waldemar Celes
Summary: This paper introduces a new visualization technique for inspecting simulated black oil reservoir models, addressing the limitations of traditional visualization techniques. By employing a cutaway approach, an efficient and effective focus+context visualization technique is achieved.
2021 34TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2021)
(2021)
Article
Computer Science, Information Systems
Daria Hollenstein, Susanne Bleisch
Summary: This article introduces a method to extend pan and zoom operations by combining focus+context techniques and multiple maps to support the 'overviewing' of spatial data, along with the prototype implementation and application.
INTERNATIONAL JOURNAL OF CARTOGRAPHY
(2022)
Article
Computer Science, Software Engineering
Thomas Robotham, Olli S. Rummukainen, Miriam Kurz, Marie Eckert, Emanuel A. P. Habets
Summary: This study investigates the factors influencing real-time audio rendering quality ratings in multi-modal 6-DoF VR using various subjective audio quality evaluation methods. The results show that rank-order elimination is the fastest method with the highest discrimination between spatial conditions, and interactive and complex scenes may impede quality judgments in evaluation.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)