Display Space and Distribution Visualization of Intelligent Algorithms and 3D Interactive Imaging Technology

Abstract

The traditional two-dimensional data visualization method is difficult to accurately express and display the three-dimensional information of the data, while the 3D interactive image technology can visually display the data in the three-dimensional space. At the same time, it can also operate and edit the data through interactive methods to help people better understand and use the data. Intelligent algorithms are an important supplement to 3D interactive imaging technology, which can improve visualization and analysis accuracy through calculations, model building, and other methods, achieving more accurate data display and analysis. This article aimed to explore the application of intelligent algorithms and 3D interactive imaging technology in the field of spatial visualization. Intelligent algorithms can help analyze data features and relationships, extract data attributes, and optimize data display effects. 3D interactive imaging technology can present processed data in a virtual three-dimensional space, enhancing the interaction and visualization effect between users and data. The combination of the two can achieve better data analysis and presentation results. This article conducted simulation experiments on spatial visualization based on intelligent algorithms and 3D interactive imaging technology, and scored some experimental indicators using a scoring system. The experimental results of this article indicate that the intelligent algorithm had a time efficiency of 46.5 seconds and an accuracy of 95 % in displaying spatial and distribution visualization. The usability score was 75. The interactivity score of 3D interactive imaging technology in displaying spatial and distribution visualization was 96. The visual effect score was 96, and the usability score was 65. The combination of the two in terms of displaying spatial and distribution visualization had a time efficiency of 50.8 seconds, interactivity of 86 minutes, and accuracy of 98 %. It shows that different data visualization technologies have their own characteristics in display space and distribution visualization, and suitable technologies can be selected according to actual needs and application scenarios.