WiMi Hologram Cloud, a leading global Hologram Augmented Reality (“AR”) Technology provider, announced that interactive 3D data visualization technology was developed, which is a technology that maps complex datasets into visual representations and allows users to explore and analyze the data through interactive manipulation; the goal of this technology is to interpret, understand, and extract information from the data by leveraging the human visual system. In interactive 3D data visualization, data can be displayed in three-dimensional space, providing users with a richer and more intuitive visual experience. Users can view the data in different dimensions by rotating, zooming, and panning, which helps to reveal the intrinsic structure and relationships of the data. In addition, interactive 3D data visualization supports users to explore and analyze data in real time through operations such as selection and filtering.
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The core modules of the interactive 3D data visualization technology developed by WiMi include the core modules of data processing, 3D graphic drawing, data mapping, interactive operation and dynamic updating, which collaborate to realize the functions of visualization and interactive operation of the data, so that the users can understand and analyze the three-dimensional data more intuitively.
The data processing module is mainly responsible for cleaning, converting and aggregating the raw data to prepare for the subsequent visualization display and interactive operations. The 3D graphics drawing module draws 3D graphics using computer graphics techniques, including modeling, rendering and lighting, to show the three-dimensional form of the data. The data mapping module maps the attributes of the data to different visual attributes of the visualization graphic, such as color, size, and shape, to express the characteristics and relationships of the data. The interactive manipulation module handles user interactions such as rotation, zooming, panning, selection, and filtering, enabling users to change perspectives and observe different aspects of the data to better understand and analyze it. The dynamic update module updates the visualization results in real-time according to changes in the data, enabling users to observe dynamic changes in the data.
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Interactive 3D data visualization technology combines technologies from a variety of fields, including data science, computer graphics, and human-computer interaction, and is able to present large amounts of complex data in an intuitive and dynamic 3D form, enabling people to better understand and analyze the data and thus make more accurate decisions. In addition, it allows users to actively participate in and control the visualization process, exploring different dimensions and perspectives of the data in real-time through operations such as rotating, scaling, selecting and filtering. Users can freely adjust the visualization effect according to their needs and interests to improve the efficiency of data analysis and decision-making. At the same time, it can respond to user operations and data updates in real-time, enabling users to dynamically observe data changes and trends during the visualization process. Through animation and transition effects, it can better demonstrate the evolution and dynamic characteristics of data and improve users’ understanding and perception of data. And by using high-quality rendering techniques and lighting effects, interactive 3D data visualization can present more realistic images, enhance the user’s visual experience, and improve the effectiveness and attractiveness of the data display. In addition, interactive 3D data visualization technology can handle large-scale and complex data sets, support high-performance computing and parallel processing, and can cope with data analysis tasks of different scales and demands.
The interactive 3D data visualization technology developed by WiMi is widely used in various fields, including healthcare, GIS, industrial design, education and training. With the improvement of computer hardware performance and the development of related algorithms, the expressiveness and interactivity of interactive 3D data visualization technology will be greatly improved, providing us with more possibilities and opportunities to explore and utilize the data, promoting the development of data science, advancing the research and application in various fields, and bringing more progress and development to the human society.
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