Tele-Immersive Collaborative Environment with Tiled Display Wall

2011 ◽  
pp. 75-84
Author(s):  
Yasuo Ebara
Keyword(s):  
High Resolution ◽  
Video Streaming ◽  
Astronomical Observation ◽  
Observation Data ◽  
Tiled Display ◽  
Collaborative Environment ◽  
Wide Range ◽  
Remote Sites ◽  
Display Wall ◽  
Tiled Display Wall

In intellectual collaborative works with participants between remote sites via WAN, CSCW have been used as general communication tools. Especially, the sharing of various, high-quality digital contents such as various materials, computer graphics or visualization contents, and video streaming by between remote places is important to recognize or analyze to easily refer to these contents. However, the image magnification by general projector and large-sized display equipment is low-resolution, and sufficient quality of contents is not obtained. In this research, the author has constructed a tele-immersive collaborative environment with a tiled display wall. In this environment, the author has implemented an application to display high-resolution real video streaming on a tiled display wall in remote place. By using the application, the author displayed the clear video image of remote place over a wide range. Then, the author conducted experimental verification on the effect for eye-to-eye contact by changing the position of camera on frame of LCDs on tiled display wall, and has collected a lot of knowledge. Moreover, the author has tried realistic display processing of high-resolution astronomical observation image and movie data, and it has enabled observation of the entire image of observation data all over tiled display wall.

scholarly journals High-resolution visualization Svstem or barge-scale irregular Volumes on a Tiled Display Wall

2009 ◽  
Vol 29-1 (1) ◽  
pp. 43-43
Author(s):  
Koii KOYAMADA ◽  
Naohisa Sakamoto ◽  
Hiroshi Kuwano ◽  
Takuma Kawamura
Keyword(s):  
High Resolution ◽  
Tiled Display ◽  
Display Wall ◽  
Tiled Display Wall

scholarly journals Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Teja Kattenborn ◽  
Jana Eichel ◽  
Fabian Ewald Fassnacht
Keyword(s):  
Neural Networks ◽  
High Resolution ◽  
Convolutional Neural Networks ◽  
Low Cost ◽  
Training Data ◽  
Observation Data ◽  
Visual Interpretation ◽  
Fine Grained ◽  
Wide Range ◽  
Vegetation Species

AbstractRecent technological advances in remote sensing sensors and platforms, such as high-resolution satellite imagers or unmanned aerial vehicles (UAV), facilitate the availability of fine-grained earth observation data. Such data reveal vegetation canopies in high spatial detail. Efficient methods are needed to fully harness this unpreceded source of information for vegetation mapping. Deep learning algorithms such as Convolutional Neural Networks (CNN) are currently paving new avenues in the field of image analysis and computer vision. Using multiple datasets, we test a CNN-based segmentation approach (U-net) in combination with training data directly derived from visual interpretation of UAV-based high-resolution RGB imagery for fine-grained mapping of vegetation species and communities. We demonstrate that this approach indeed accurately segments and maps vegetation species and communities (at least 84% accuracy). The fact that we only used RGB imagery suggests that plant identification at very high spatial resolutions is facilitated through spatial patterns rather than spectral information. Accordingly, the presented approach is compatible with low-cost UAV systems that are easy to operate and thus applicable to a wide range of users.

Laboratory Experiments on the Droplet Shattering Secondary Ice Production Mechanism

2020 ◽  
Author(s):  
Alice Keinert ◽  
Judith Kleinheins ◽  
Dominik Spannagel ◽  
Alexei Kiselev ◽  
Thomas Leisner
Keyword(s):  
High Resolution ◽  
High Speed ◽  
Cloud Model ◽  
Pure Water ◽  
Measuring System ◽  
Striking Difference ◽  
Observation Data ◽  
Experimental Conditions ◽  
Wide Range ◽  
Ice Production

<p>Supercooled drizzle droplets may produce multiple ice particles upon freezing. This mechanism could potentially explain the high ice number concentrations outside of temperature range where the well-known Hallett-Mossop mechanism of ice multiplication would take place. Limited experimental methods in the past prevented direct observations of the shattering droplets, resulting in a wide range of experimental results, unsuitable for the development of a sophisticated cloud model parameterization. Recently, we have revived experiments on secondary ice production by levitating individual drizzle droplets in electrodynamic balance (EDB) and observing the freeze-shattering with high-speed video microscopy and high-resolution infrared thermal measuring system. In this way we have been able to identify three additional SIP mechanisms (cracking, jetting and bubble bursts) associated with the freezing of drizzle droplets (Lauber et al., 2018). <br>Additionally, we have extended the range of experimental conditions to mimick the freezing of continental (pure water) and maritime (aqueous solution of analogue sea salt) drizzle droplets suspended in the updraft of cold moist air. We report a strong enhancement of shattering probability as compared to the previous studies conducted under stagnant air conditions. The high-definition video records of shattering events reveal the coupling between various microphysical processes caused by ice propagation inside the freezing drop and reveal striking difference between freezing of pure water and SSA solution droplets. Application of high-resolution infrared microscopy allowed us to record the evolution of the droplet temperature under realistic flow conditions and thus constrain the thermodynamic parameters controlling the pressure build-up inside the droplet. Based on these new observation data and theoretical model of freezing droplet, we discuss the physical mechanism behind the shattering of drizzle droplets and its implication for mixed-phase cloud modeling.</p><p>Lauber, A., A. Kiselev, T. Pander, P. Handmann, and T Leisner (2018). “Secondary Ice Formation during Freezing of Levitated Droplets”, Journal of the Atmospheric Sciences 75, pp. 2815–2826.</p>

scholarly journals SAGE-based Tiled Display Wall enhanced with dynamic routing functionality triggered by user interaction

2016 ◽  
Vol 56 ◽  
pp. 303-314 ◽  
Author(s):  
Yoshiyuki Kido ◽  
Kohei Ichikawa ◽  
Susumu Date ◽  
Yasuhiro Watashiba ◽  
Hirotake Abe ◽  
...  
Keyword(s):  
User Interaction ◽  
Dynamic Routing ◽  
Tiled Display ◽  
Display Wall ◽  
Tiled Display Wall
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