Seth Johnson, Francesca Samsel, Gregory Abram, Daniel Olson, Andrew J. Solis, Bridger Herman, Phillip J. Wolfram, Christophe Lenglet, Daniel F. Keefe
IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 1, pp. 492-502, Jan. 2020.
Abstract: We introduce Artifact-Based Rendering (ABR), a framework of tools, algorithms, and processes that makes it possible to produce real, data-driven 3D scientific visualizations with a visual language derived entirely from colors, lines, textures, and forms created using traditional physical media or found in nature. A theory and process for ABR is presented to address three current needs: (i) designing better visualizations by making it possible for non-programmers to rapidly design and critique many alternative data-to-visual mappings; (ii) expanding the visual vocabulary used in scientific visualizations to depict increasingly complex multivariate data; (iii) bringing a more engaging, natural, and human-relatable handcrafted aesthetic to data visualization. New tools and algorithms to support ABR include front-end applets for constructing artifact-based colormaps, optimizing 3D scanned meshes for use in data visualization, and synthesizing textures from artifacts. These are complemented by an interactive rendering engine with custom algorithms and interfaces that demonstrate multiple new visual styles for depicting point, line, surface, and volume data. A within-the-research-team design study provides early evidence of the shift in visualization design processes that ABR is believed to enable when compared to traditional scientific visualization systems. Qualitative user feedback on applications to climate science and brain imaging support the utility of ABR for scientific discovery and public communication.
Francesca Samsel, Seth A. Johnson, Annie Bares, Daniel F. Keefe
VISAP’19, Pictorials and Annotated Portfolios.
Abstract: As scientific data grow larger and more complex, an equally rich visual vocabulary is needed to fully articulate its insights. We present a series of images that are made possible by a recent technical development “Artifact-Based Rendering,” a component of our broader effort to create a methodology for scientific visualization that draws on principles of art and design.
Seth A. Johnson, Francesca Samsel, Greg Abram, Daniel Olson, Andrew Solis, Bridger Herman, Philip Wolfram, Christophe Langlet, Daniel F. Keefe
Presentation, IEEE Vis 2019, (De)Construction, October 23, 2019.