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Kawamura, Takuma; Sakamoto, Naohisa*; Osaki, Tsukasa*
Journal of Advanced Simulation in Science and Engineering (Internet), 10(1), p.31 - 39, 2023/02
Visualization of large fluid computation results at remote locations by VR, especially using volume rendering, is one of the key challenges in the visualization field. The remote visualization application CS-PBVR is capable of interactive volume rendering of large-scale data in remote locations. In this study, the image generation of CS-PBVR was extended for head-mounted displays to develop a remote VR visualization application, VR-PBVR. We also developed a function that allows manipulation of visualization data by gesture control with both hands in VR space. We applied VR-PBVR to remote volume data and confirmed that it can visualize the data at interactive frame rates.
Kawamura, Takuma; Sakamoto, Naohisa*
Dai-36-Kai Suchi Ryutai Rikigaku Shimpojiumu Koen Rombunshu (Internet), 3 Pages, 2022/12
Volume rendering is useful for visualizing computer fluid dynamics (CFD) data, and its VR visualization helps to understand complex 3D data. Volume rendering of large scale data in remote locations in VR space is an important issue of the visualization field. A remote visualization application CS-PBVR can interactively visualize the large-scale datasets in remote locations with volume rendering. In order to extend CS-PBVR into VR-PBVR which is applicable to a head mount display (HMD) Oculus rift S, we added a stereo image generation function, a gesture control function, and a renewed processing flow. VR-PBVR achieved interactive visualization of remotely located test dataset (2M cells) with 90 fps.
Kawamura, Takuma; Sakamoto, Naohisa*
Proceedings of 41st JSST Annual International Conference on Simulation Technology (JSST 2022) (Internet), p.266 - 269, 2022/09
Visualization of the large CFD dataset in remote locations by VR, especially using volume rendering, is one of the issues in the visualization field. The visualization library KVS supports PBVR, a unique particle-based visualization method suitable for large-scale data, and we have developed an extension of KVS for VR. In this paper, we present a design for VR extension of CS-PBVR, a remote visualization application based on KVS. The developed CS-PBVR for VR is then applied to test data and shown to be capable of VR visualization at interactive frame rates.
Tabata, Ginga*; Sakamoto, Naohisa*; Kawamura, Takuma
Proceedings of Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo 2020 (SNA + MC 2020), p.193 - 200, 2020/10
In interactive visualization/analysis, interactive operation of visualization results on the screen is an important technology that is directly linked to knowledge extraction. On the conventional 2D display, interactive operations such as moving the viewpoint and adjusting the visualization parameters were performed using the mouse. Then, the virtual reality (VR) technology such as CAVE system and head mounted display (HMD) is used for visualization and analysis, and the development of technology for interactively operating visualization result data in VR space has become one of the important issues in the visualization field. In this paper, we propose a technique to capture a real hand gesture by Leap Motion and intuitively change the viewpoint movement and visualization parameters in VR space by HMD. We asked four people to test the developed technology, and obtained a result that it was easy to change the viewpoint from the questionnaire on the operation feeling.
Kawamura, Takuma; Idomura, Yasuhiro; Miyamura, Hiroko; Takemiya, Hiroshi; Sakamoto, Naohisa*; Koyamada, Koji*
Visualization and Data Analysis 2015 (Proceedings of SPIE Vol.9397) (Internet), p.93970S_1 - 93970S_8, 2015/02
Times Cited Count：4 Percentile：87.56(Computer Science, Theory & Methods)In this paper, we propose a novel remote visualization system based on particle-based volume rendering (PBVR), which enables interactive analyses of extreme scale volume data located on remote computing systems. The remote PBVR system consists of Server, which generates particles for rendering, and Client, which processes volume rendering, and the particle data size becomes significantly smaller than the original volume data. Depending on network bandwidth, the level of detail of images is flexibly controlled to attain high frame rates. Server is highly parallelized on various parallel platforms with hybrid programing model. The mapping process is accelerated by two orders of magnitudes compared with a single CPU. The structured and unstructured volume data with 100 millions of cells is processed within a few seconds. Compared with commodity Client/Server visualization tools, the total processing cost is dramatically reduced by using proposed system.
Kawamura, Takuma; Sakamoto, Naohisa*
no journal, ,
The visualization library KVS is equipped with various visualization methods and is used by domestic and foreign researchers. Particle-Based Volume Rendering (PBVR), which is implemented in KVS, does not require sorting computation in alpha blending and has advantages in parallel visualization for large-scale data. In this study, we extended the functionality of the visualization library KVS, including PBVR, for the Oculus head-mounted display, and built a client-server remote VR visualization application as a use case.
Kawamura, Takuma; Sakamoto, Naohisa*
no journal, ,
Visualization of remote large-scale fluid data in VR space is an important issue in fluid data visualization. In this study, we developed VR-PBVR by extending CS-PBVR, a remote visualization application for large-scale data, for the Oculus rift S HMD. In this development, a highly operable gesture control was implemented for the coordinate transformation of visualization data in VR space. VR-PBVR was able to visualize remote test data at interactive frame rates.
Morii, Masahiro*; Sakamoto, Naohisa*; Kawamura, Takuma
no journal, ,
Particle-based rendering, which does not require view-based sorting, is effective for visualization of large simulation data. However, in ensemble averaging, the increase in the number of ensembles for high image quality may interfere with interactive operations. To solve this problem, we propose a multiple kernel denoising autoencoder that improves the image quality of low ensemble images. In experiments, we tested the effectiveness of our method on several test data sets.
Morii, Masahiro*; Sakamoto, Naohisa*; Kawamura, Takuma
no journal, ,
Particle-Based Volume Rendering (PBVR) efficiently visualizes simulation result data by converting it into compressed visualizable particles. It is utilized in applications for visualizing large-scale data from remote locations. The image quality of PBVR depends on the number of particles used for visualization, leading to an increase in the transmitted particle size when generating high-resolution images for remote visualization. This research proposed a multi-kernel denoising autoencoder tailored for PBVR, and confirmed its effectiveness using test data.
