Applying Visual Analytics to Physically Based Rendering

Simons, Gerard; Herholz, Sebastian; Petitjean, Victor; Rapp, Tobias; Ament, Marco; Lensch, Hendrik P. A.; Dachsbacher, Carsten; Eisemann, Martin; Eisemann, Elmar

doi:10.1111/cgf.13452

Cited by 4 publications

(3 citation statements)

References 37 publications

(53 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Axis reordering may be more challenging with an increasing number of covariates 47 . Previous researches 48,49 showed dimension reduction as an alternative technique for multidimensional data visualization.…”

Section: Discussionmentioning

confidence: 99%

Exploratory Data Analysis of Adverse Birth Outcomes and Exposure to Oxides of Nitrogen Using Interactive Parallel Coordinates Plot Technique

Mitku¹,

Zewotir²,

North³

et al. 2020

Sci Rep

View full text Add to dashboard Cite

We propose that a parallel coordinates plot can be used to study multidimensional data particularly to explore discovery of patterns across the variables. this can assist researchers from the health sciences to visualize their cohort data with interactive data analysis. the study used data from Mother and child in the Environment birth cohort in Durban, South Africa for the period 2013 to 2017 retrospectively registered. In this paper, we demonstrate that the exploration of multidimensional data with parallel coordinates plot and use of brushing using different colours assists with the identification of relationships and patterns. parallel coordinates plot visualization facilitates the researcher's skills to find trends, identify outliers and perform quality checks in large multivariate data. We have identified trends in the data that provide directions for further research, and illustrated thereby the potential of parallel coordinates plot to explore patterns and relationships of prenatal oxides of nitrogen exposure with multidimensional birth outcomes. the study recognized the co-occurrence of adverse birth outcomes among infants and these infants had mothers with moderate to high level of nox exposure during pregnancy. Brushing using different colours facilitated the detection of patterns of relationships to perform basic and advanced statistical model-based analysis. Data exploration techniques are important approaches for displaying multidimensional and multivariate datasets 1 , and to demonstrate the different ways that complex interactions among variables can be identified in images 2,3. It is a method for identifying and confirming previously unknown and important patterns within data sets and an important philosophical approach to understanding one's data 4. Visual analytics is well developed for up to three variables (three-dimensional plots (3D plots)). Visual analytics for more than four covariates is complex and not well developed 5. One of the most challenging stages in multivariate data analysis is to identify patterns and associations between a set of interrelated variables. Most typical data exploratory techniques fail to visualize multidimensional data 6. The typical exploratory data analysis techniques, such as bar charts, line graphs, histograms and scatter plots suit one or two-dimensional data 7. However, visualization of complex multidimensional data is challenging for researchers. Box plots, scatter plots, heat maps, complex radial tree layout diagrams are among the most commonly used techniques to better explore multidimensional data 8. The box-and-whisker plot is also useful in bivariate analysis, as it allows comparisons between different groups that results from categorical grouping variables 9. Previous data exploration techniques relied mostly on scatter plot matrices 10. However, it is not generalizable beyond three dimensions and making multivariate associations requires a large amount of screen space. Due to this, the problem of representing multidimensional data is a difficult an...

show abstract

Section: Discussionmentioning

confidence: 99%

Exploratory Data Analysis of Adverse Birth Outcomes and Exposure to Oxides of Nitrogen Using Interactive Parallel Coordinates Plot Technique

Mitku¹,

Zewotir²,

North³

et al. 2020

Sci Rep

View full text Add to dashboard Cite

show abstract

“…This assumption rarely holds in real-world scenarios (due to the trial-and-error-based methodology converging to a single valid solution), raising the need for novel methods that produce multiple solutions in parallel. Other solutions, such as proposed by Simons et al [39], record light rays and offer visual-analytics tools to explore, evaluate, and compare light interactions, potentially involving several scenes. Nevertheless, they do not offer suggestions for scene manipulations to fulfill given constraints.…”

Section: Lighting Designmentioning

confidence: 99%

LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization

Walch

Schwärzler

Luksch

et al. 2019

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

Fig. 1. The components of LightGuider : (a) a 3D modeling view to place and modify luminaires, augmented with (b) a provenance tree, depicting several sequential modeling steps and parallel modeling branches, integrating information on the quality of the individual solutions, and providing guidance by pre-simulating and suggesting possible next steps to improve the design. A film-strip-like visualization (c) of screenshots helps to depict the evolution up to the currently selected state. A quality view (d) informs about the fulfillment level of the illumination constraints that need to be met, using bullet charts. Changing the weights of these constraints (e), and therefore, the lighting designer's focus, triggers an update of the provenance tree node visualizations (reflecting the weights of the constraints in the distribution of the treemap space). Moreover, the defined weights are also considered in the generation of new suggestions, which are tailored towards satisfying constraints with higher weights.Abstract-LightGuider is a novel guidance-based approach to interactive lighting design, which typically consists of interleaved 3D modeling operations and light transport simulations. Rather than having designers use a trial-and-error approach to match their illumination constraints and aesthetic goals, LightGuider supports the process by simulating potential next modeling steps that can deliver the most significant improvements. LightGuider takes predefined quality criteria and the current focus of the designer into account to visualize suggestions for lighting-design improvements via a specialized provenance tree. This provenance tree integrates snapshot visualizations of how well a design meets the given quality criteria weighted by the designer's preferences. This integration facilitates the analysis of quality improvements over the course of a modeling workflow as well as the comparison of alternative design solutions. We evaluate our approach with three lighting designers to illustrate its usefulness.

show abstract

“…Therefore, the methods of appearance acquisition and representation of 3D garments should be investigated dedicatedly. The challenges of appearance acquisition and representation, to be specific, 3D colour measurements and rendering [18,19], exist in that the acquisition and modeling of the spectral of material [20].…”

Section: Mini Reviewmentioning

confidence: 99%

Online Modeling for Future Fashion Factory Based on 3D Multispectral Colour Imaging and Data Fusion

2019

CTFTTE

View full text Add to dashboard Cite

Applying Visual Analytics to Physically Based Rendering

Cited by 4 publications

References 37 publications

Exploratory Data Analysis of Adverse Birth Outcomes and Exposure to Oxides of Nitrogen Using Interactive Parallel Coordinates Plot Technique

Exploratory Data Analysis of Adverse Birth Outcomes and Exposure to Oxides of Nitrogen Using Interactive Parallel Coordinates Plot Technique

LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization

Online Modeling for Future Fashion Factory Based on 3D Multispectral Colour Imaging and Data Fusion

Contact Info

Product

Resources

About