Andreas Lind



    [PDF] [DOI] [Bibtex]
    @ARTICLE {Lind-2017-CCR,
    author = "Andreas Johnsen Lind and Stefan Bruckner",
    title = "Comparing Cross-Sections and 3D Renderings for Surface Matching Tasks using Physical Ground Truths",
    journal = "IEEE Transactions on Visualization and Computer Graphics",
    year = "2017",
    volume = "23",
    number = "1",
    pages = "781--790",
    month = "jan",
    abstract = "Within the visualization community there are some well-known techniques  for visualizing 3D spatial data and some general assumptions about  how perception affects the performance of these techniques in practice.  However, there is a lack of empirical research backing up the possible  performance differences among the basic techniques for general tasks.  One such assumption is that 3D renderings are better for obtaining  an overview, whereas cross sectional visualizations such as the commonly  used Multi- Planar Reformation (MPR) are better for supporting detailed  analysis tasks. In the present study we investigated this common  assumption by examining the difference in performance between MPR  and 3D rendering for correctly identifying a known surface. We also  examined whether prior experience working with image data affects  the participant’s performance, and whether there was any difference  between interactive or static versions of the visualizations. Answering  this question is important because it can be used as part of a scientific  and empirical basis for determining when to use which of the two  techniques. An advantage of the present study compared to other studies  is that several factors were taken into account to compare the two  techniques. The problem was examined through an experiment with 45  participants, where physical objects were used as the known surface  (ground truth). Our findings showed that: 1. The 3D renderings largely  outperformed the cross sections; 2. Interactive visualizations were  partially more effective than static visualizations; and 3. The high  experience group did not generally outperform the low experience  group.",
    pdf = "pdfs/Lind-2017-CCR.pdf",
    images = "images/Lind-2017-CCR.jpg",
    thumbnails = "images/Lind-2017-CCR.png",
    doi = "10.1109/TVCG.2016.2598602",
    event = "IEEE SciVis 2016",
    keywords = "human-computer interaction, quantitative evaluation, volume visualization",
    location = "Baltimore, USA"


    @MASTERTHESIS {Lind13thesis,
    author = "Andreas Johnsen Lind",
    title = "Selected Opportunities for the Semiautomatic Analysis of Spectrally Decomposed Seismic Data",
    school = "Visualization Group, Department of Informatics, University of Bergen",
    year = "2013",
    type = "MSc. thesis",
    month = "aug",
    images = "images/P01.png,images/P02.png,images/P03.png,images/P04.png,",
    thumbnails = "images/P01.png,images/P02.png,images/P03.png,images/P04.png,"