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MARV: Multiview Augmented Reality Visualisation for Exploring Rich Material Data

Alexander Gall, Anja Heim, Eduard Gröller, Christoph Heinzl

TL;DR

This document articulates Eurographics manuscript submission guidelines, detailing precise formatting, typography, and production requirements to ensure consistent reproduction. It covers language, page layout, font embedding, reference style, figure handling, color usage, hyperlink inclusion, PDF generation, and licensing. The guide emphasizes using the official LaTeX template and strict adherence to specifications to streamline submission and publication. Collectively, these rules standardize submissions, minimize production issues, and clarify licensing and visual requirements for both authors and the production team.

Abstract

Rich material data is complex, large and heterogeneous, integrating primary and secondary non-destructive testing data for spatial, spatio-temporal, as well as high-dimensional data analyses. Currently, materials experts mainly rely on conventional desktop-based systems using 2D visualisation techniques, which render respective analyses a time-consuming and mentally demanding challenge. MARV is a novel immersive visual analytics system, which makes analyses of such data more effective and engaging in an augmented reality setting. For this purpose, MARV includes three newly designed visualisation techniques: MDD Glyphs with a Skewness Kurtosis Mapper, Temporal Evolution Tracker, and Chrono Bins, facilitating interactive exploration and comparison of multidimensional distributions of attribute data from multiple time steps. A qualitative evaluation conducted with materials experts in a real-world case study demonstrates the benefits of the proposed visualisation techniques. This evaluation revealed that combining spatial and abstract data in an immersive environment improves their analytical capabilities and facilitates the identification of patterns, anomalies, as well as changes over time.

MARV: Multiview Augmented Reality Visualisation for Exploring Rich Material Data

TL;DR

This document articulates Eurographics manuscript submission guidelines, detailing precise formatting, typography, and production requirements to ensure consistent reproduction. It covers language, page layout, font embedding, reference style, figure handling, color usage, hyperlink inclusion, PDF generation, and licensing. The guide emphasizes using the official LaTeX template and strict adherence to specifications to streamline submission and publication. Collectively, these rules standardize submissions, minimize production issues, and clarify licensing and visual requirements for both authors and the production team.

Abstract

Rich material data is complex, large and heterogeneous, integrating primary and secondary non-destructive testing data for spatial, spatio-temporal, as well as high-dimensional data analyses. Currently, materials experts mainly rely on conventional desktop-based systems using 2D visualisation techniques, which render respective analyses a time-consuming and mentally demanding challenge. MARV is a novel immersive visual analytics system, which makes analyses of such data more effective and engaging in an augmented reality setting. For this purpose, MARV includes three newly designed visualisation techniques: MDD Glyphs with a Skewness Kurtosis Mapper, Temporal Evolution Tracker, and Chrono Bins, facilitating interactive exploration and comparison of multidimensional distributions of attribute data from multiple time steps. A qualitative evaluation conducted with materials experts in a real-world case study demonstrates the benefits of the proposed visualisation techniques. This evaluation revealed that combining spatial and abstract data in an immersive environment improves their analytical capabilities and facilitates the identification of patterns, anomalies, as well as changes over time.
Paper Structure (14 sections, 3 figures)

This paper contains 14 sections, 3 figures.

Table of Contents

  1. Introduction
  2. Instructions
  3. Language
  4. Margins and page numbering
  5. Formatting your paper
  6. Type-style and fonts
  7. Footnotes
  8. References
  9. Illustrations, graphs, and photographs
  10. Color
  11. Embedding of Hyperlinks / Typesetting of URLs
  12. PDF Generation
  13. License Form
  14. Conclusions

Figures (3)

  • Figure 1: 'Empty' figure only to serve as an example of long caption requiring more than one line. It is not typed centered but aligned on both sides.
  • Figure 2: Here is a sample figure.
  • Figure 3: For publications with color tables (i.e., publications not offering color throughout the paper) please observe: for the printed version -- and ONLY for the printed version -- color figures have to be placed in the last page. For the electronic version, which will be converted to PDF before making it available electronically, the color images should be embedded within the document. Optionally, other multimedia material may be attached to the electronic version.