Large-scale data visualization processing method based on Web Pseudo-three dimensions (3D)

A large-scale data and processing method technology, applied in image data processing, electrical digital data processing, special data processing applications, etc., can solve the problems of slow Web3D rendering speed and large occlusion, achieve smooth visualization of large-scale data processing, avoid The effect of repeated operations

Inactive Publication Date: 2012-09-19
TONGJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the amount of data is small, this inconvenience may not be obvious, but as the amount of data increases, the occlusion becomes larger and the rendering speed of Web 3D becomes slower and slower. This is undoubtedly a problem, and try to solve this problem , which is the focus of this model

Method used

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  • Large-scale data visualization processing method based on Web Pseudo-three dimensions (3D)
  • Large-scale data visualization processing method based on Web Pseudo-three dimensions (3D)
  • Large-scale data visualization processing method based on Web Pseudo-three dimensions (3D)

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Embodiment 1

[0034] Generally, each 3D element must go through multiple coordinate transformations (rendering pipeline) to become the graphic image we finally see on the 2D screen, and then in order for the user to perform various interactive activities, the entire 3D scene is constantly updated at a certain frequency. That is, the rendering pipeline operation is repeated continuously. In the present invention, we jump out of this mode, but virtual advance the work of browsing the scene before the generation of the 3D scene. At the time of initialization, we can calculate the version of the scene data when the camera is at different angles, and then render and generate a series of scene snapshots of corresponding angles and save them. When the user needs to browse the 3D scene, it can be completed by sequentially playing the pre-stored snapshots in sequence, or using the Flash technology to use the pre-stored snapshots as key frames to generate tween animation to achieve the browsing effec...

Embodiment 2

[0042] There are many kinds of data types in data visualization, among which the visualization of hierarchical data is the most difficult, it has a complex structure and a large scale. The visualization method, TreeMap technology is one of the most successful. under Figure II It is a TreeMap effect diagram realized by using the Pseudo-3D model, with 566 patches and 12 angles.

[0043] Through experiments, we found that the increase of meshes will greatly affect the rendering efficiency. Table 1 shows the relevant data we obtained at different mesh scales (note: the full frame is set to 24fps). It can be found that when the Mesh scale is small, such as 566, 1656, the startup is very fast. At this time, the frame rate of the scene is basically close to the full frame, and real-time interaction is not a problem. However, as the mesh scale increases, the startup of the scene takes time. And the frame rate deteriorates rapidly, especially when the mesh size increases to about 9000...

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Abstract

The invention relates to a large-scale data visualization processing method based on Web Pseudo-three dimensions (3D). The method comprises steps of (1) generating and loading scene data, (2) generating and pre-storing scene snapshots; and (3) forming an animation. Compared with the prior art, the method has the advantages of being capable of processing large-scale data visualization smoothly in real time and the like.

Description

technical field [0001] The invention relates to a data visualization processing method, in particular to a large-scale data visualization processing method based on Web Pseudo-3D. Background technique [0002] Research on data visualization based on Web 3D is a research hotspot in the field of business intelligence (BI) in recent years. Because graphics or images have the characteristics of image, intuition, and rich content, they are close to people's cognitive methods, and thus become an indispensable multimedia method for communication between decision makers and massive data. If there is no corresponding method to convert various forms of data into graphic images, a large amount of information will be submerged in the ocean of data, and cannot be recognized and utilized by people. Therefore, how to develop efficient data visualization technology has become an urgent problem to be solved. Compared with the increasingly mature 2D-based data visualization method, 3D-based...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T13/20G06F17/30
Inventor 李宏宇张敏
Owner TONGJI UNIV
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