Zobrazeno 1 - 10
of 553
pro vyhledávání: '"Schmalstieg, Dieter"'
Autor:
Jansen, Yvonne, Bucchieri, Federica, Dragicevic, Pierre, Hachet, Martin, Koval, Morgane, Petiot, Léana, Prouzeau, Arnaud, Schmalstieg, Dieter, Yao, Lijie, Isenberg, Petra
Publikováno v:
VIS4Good - Visualization for Social Good workshop held as part of IEEE VIS 2022, Oct 2022, Oklahoma City, United States
We present the results of a brainstorming exercise focused on how situated visualizations could be used to better understand the state of the environment and our personal behavioral impact on it. Specifically, we conducted a day long workshop in the
Externí odkaz:
http://arxiv.org/abs/2409.07006
Brushing and linking is widely used for visual analytics in desktop environments. However, using this approach to link many data items between situated (e.g., a virtual screen with data) and embedded views (e.g., highlighted objects in the physical e
Externí odkaz:
http://arxiv.org/abs/2403.15321
Autor:
Pepe, Antonio, Schussnig, Richard, Li, Jianning, Gsaxner, Christina, Schmalstieg, Dieter, Egger, Jan
Shape reconstruction from imaging volumes is a recurring need in medical image analysis. Common workflows start with a segmentation step, followed by careful post-processing and,finally, ad hoc meshing algorithms. As this sequence can be timeconsumin
Externí odkaz:
http://arxiv.org/abs/2403.11790
Autor:
Gsaxner, Christina, Mori, Shohei, Schmalstieg, Dieter, Egger, Jan, Paar, Gerhard, Bailer, Werner, Kalkofen, Denis
Diminished reality (DR) refers to the removal of real objects from the environment by virtually replacing them with their background. Modern DR frameworks use inpainting to hallucinate unobserved regions. While recent deep learning-based inpainting i
Externí odkaz:
http://arxiv.org/abs/2312.00532
Situated visualization has become an increasingly popular research area in the visualization community, fueled by advancements in augmented reality (AR) technology and immersive analytics. Visualizing data in spatial proximity to their physical refer
Externí odkaz:
http://arxiv.org/abs/2307.09157
Autor:
Gsaxner, Christina, Li, Jianning, Pepe, Antonio, Jin, Yuan, Kleesiek, Jens, Schmalstieg, Dieter, Egger, Jan
The HoloLens (Microsoft Corp., Redmond, WA), a head-worn, optically see-through augmented reality display, is the main player in the recent boost in medical augmented reality research. In medical settings, the HoloLens enables the physician to obtain
Externí odkaz:
http://arxiv.org/abs/2209.03245
Autor:
Pepe, Antonio, Egger, Jan, Codari, Marina, Willemink, Martin J., Gsaxner, Christina, Li, Jianning, Roth, Peter M., Mistelbauer, Gabriel, Schmalstieg, Dieter, Fleischmann, Dominik
Objective: Surveillance imaging of chronic aortic diseases, such as dissections, relies on obtaining and comparing cross-sectional diameter measurements at predefined aortic landmarks, over time. Due to a lack of robust tools, the orientation of the
Externí odkaz:
http://arxiv.org/abs/2111.11269
Autor:
Merino, Leonel, Schwarzl, Magdalena, Kraus, Matthias, Sedlmair, Michael, Schmalstieg, Dieter, Weiskopf, Daniel
We present a systematic review of 458 papers that report on evaluations in mixed and augmented reality (MR/AR) published in ISMAR, CHI, IEEE VR, and UIST over a span of 11 years (2009-2019). Our goal is to provide guidance for future evaluations of M
Externí odkaz:
http://arxiv.org/abs/2010.05988
Autor:
Pepe, Antonio, Egger, Jan, Codari, Marina, Willemink, Martin J., Gsaxner, Christina, Li, Jianning, Roth, Peter M., Schmalstieg, Dieter, Mistelbauer, Gabriel, Fleischmann, Dominik
Publikováno v:
In Computers in Biology and Medicine October 2023 165
We present DetectFusion, an RGB-D SLAM system that runs in real-time and can robustly handle semantically known and unknown objects that can move dynamically in the scene. Our system detects, segments and assigns semantic class labels to known object
Externí odkaz:
http://arxiv.org/abs/1907.09127