Zobrazeno 1 - 10
of 390
pro vyhledávání: '"Isenberg, Tobias"'
Autor:
Isenberg, Tobias
I analyze the evolution of papers certified by the Graphics Replicability Stamp Initiative (GRSI) to be reproducible, with a specific focus on the subset of publications that address visualization-related topics. With this analysis I show that, while
Externí odkaz:
http://arxiv.org/abs/2408.03889
We developed and validated an instrument to measure the perceived readability in data visualization: PREVis. Researchers and practitioners can easily use this instrument as part of their evaluations to compare the perceived readability of different v
Externí odkaz:
http://arxiv.org/abs/2407.14908
We propose and study a novel cross-reality environment that seamlessly integrates a monoscopic 2D surface (an interactive screen with touch and pen input) with a stereoscopic 3D space (an augmented reality HMD) to jointly host spatial data visualizat
Externí odkaz:
http://arxiv.org/abs/2407.14833
We apply an approach from cognitive linguistics by mapping Conceptual Metaphor Theory (CMT) to the visualization domain to address patterns of visual conceptual metaphors that are often used in science infographics. Metaphors play an essential part i
Externí odkaz:
http://arxiv.org/abs/2407.13416
We introduce DiffFit, a differentiable algorithm for fitting protein atomistic structures into an experimental reconstructed Cryo-Electron Microscopy (cryo-EM) volume map. In structural biology, this process is necessary to semi-automatically composi
Externí odkaz:
http://arxiv.org/abs/2404.02465
Autor:
Chen, Jian, Isenberg, Petra, Laramee, Robert S., Isenberg, Tobias, Sedlmair, Michael, Moeller, Torsten, Li, Rui
We present and discuss the results of a qualitative analysis of visual representations from images. We labeled each image's essential stimuli, the removal of which would render a visualization uninterpretable. As a result, we derive a typology of 10
Externí odkaz:
http://arxiv.org/abs/2403.05594
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics 2024
We examine visual representations of data that make use of combinations of both 2D and 3D data mappings. Combining 2D and 3D representations is a common technique that allows viewers to understand multiple facets of the data with which they are inter
Externí odkaz:
http://arxiv.org/abs/2401.05438
We investigated data embroidery with black-and-white textures, identifying challenges in the use of textures for machine embroidery based on our own experience. Data embroidery, as a method of physically representing data, offers a unique way to inte
Externí odkaz:
http://arxiv.org/abs/2309.02864
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics 30(1), 2024
We propose three novel spatial data selection techniques for particle data in VR visualization environments. They are designed to be target- and context-aware and be suitable for a wide range of data features and complex scenarios. Each technique is
Externí odkaz:
http://arxiv.org/abs/2308.03616
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics 30(1), 2024
We investigate the use of 2D black-and-white textures for the visualization of categorical data and contribute a summary of texture attributes, and the results of three experiments that elicited design strategies as well as aesthetic and effectivenes
Externí odkaz:
http://arxiv.org/abs/2307.10089