2402 10002 MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding

The preliminary results of our usability survey show the benefit in using a hybrid 2D and 3D visual analytics application to support their data exploration. Furthermore, our mixed-reality setup could be the solution to ease the interaction between 2D and 3D systems while allowing the user to view the data in its natural environment using multiple coordinated views. We leveraged our hybrid 2D and 3D architecture to implement a visualization application for our Monte Carlo simulation 12. The simulation generates both temporal and geospatial data for a variety of 3D assets.

dynamic 2D views of information

These components are designed to run within a High Performance Computing (HPC) environment to take advantage of its parallel data processing power. We also described the data-flow-oriented architecture design that we used in the development of a hybrid 2D and 3D visual analytics tool. The architecture is used to develop an application demonstrating a viable real-time interactive hybrid 2D and 3D visual analytics application for a complex dynamic 2D views of information Monte Carlo simulation. The hybrid 2D and 3D application gives the user a better understanding of the outcome of their 3D simulations.

In addition, the majority of users chose the 2D environment when asked “If you had to select one mode to use for data analysis, which would you select? Although the 3D representation may be a better way for the user to visualize the 3D data, there is overhead in getting comfortable with mixed reality setup when the user is used to using a mouse and keyboard on a 2D monitor. The first step is to show the overall benefit of viewing this data in 3D, then easing the interaction with that data for the user to make it as intuitive as possible. Our usability design has the ordering of the user assignment to different environment at random, and the given tasks are independent of the environment. However, only two tasks are assigned for each of the environment with specific purpose. For the two tasks, the users were asked to determine the path of an asset in the scene, and the other task involves determining the similarity of two events in the scene.

What Makes 2D Infographics in Graphic Design Important?

The 2D visualizations are designed to run within a LHRD visualization environment, as this gives us the screen size to view a dataset from multiple different angles, across several charts, in a coordinated fashion. The 3D visualizations are designed to be deployed onto Mixed Reality system like the Microsoft HoloLens. The back-end of the system consists of a small collection of services that provide communication, data processing, and application state management.

A novel visualization enabled decision support framework for data-driven integrated design space exploration

Because the data sets contain 3D data, viewing the data on a 2D monitor limits the ability to really explore the geospatial data. Being able to immerse oneself in the data in the 3D environment and visualize the data in a 3D space allows for keener insights to be developed in the data analysis workflow. Through physical movement within the display environment, the user has the freedom to move around the mixed reality environment to further explore the data from different viewing angles and locations. The development of our LHRD visualization application took advantage of Scalable Amplified Group Environment2 (SAGE2) 2. SAGE2 allows multiple displays to be used as a single large high-resolution multiuser workspace resulting in a low cost LHRD system. The hybrid 2D and 3D Visual Analytics tool presented is also a part of our larger research effort in Dynamic Visual Computing Framework for Data Intense Analytics as shown in Fig.

The following section describes the system architecture of our hybrid 2D and 3D visual analytics application to support heterogeneous data exploration. We then elaborate on the experimental design of our evaluation and then discuss the future work before we conclude. 2D infographics are an excellent way to simplify complex information and tell stories through visuals. With high-quality design, businesses can better connect with their audience, using either static images or animated infographic videos. Effective data visualization is crucial for infographics that display data and statistics.

dynamic 2D views of information

They are commonly used in marketing, educational materials, and reports to communicate key messages effectively. In the development of SyncVis, we utilized the JavaScript information visualization modules provided by the ParaViewWeb library for the multiple coordinated views capability. ParaViewWeb is a collection of visualization modules for web-based interactive rendering of potentially large scale scientific and information data. The library implements multiple views coordination, as well as coordination of the data through a provider system. Each provider module is responsible for managing a particular piece of data and/or part of the application state, and notifying the views when there is a change in state.

In the first environment, we are running both the 2D and 3D visualization on our 2D LHRD device. The mouse and keyboard are used to interact with and move around the 3D visualization, where interaction with the temporal selection gadget updates both 2D and 3D visualization views. In the second environment, we have 2D visualization displayed on a monitor and the 3D visualization on the mixed reality environment.

This data transfer and communication requires the use of the event translation microservice, described in the next subsection. For data with temporal attributes, we can create an animation that plays out over the time steps of the data sets. For geospatial data, we can map the geospatial coordinates to Unity world space coordinates to correctly align the assets based off of the recorded geospatial data.