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Graphic image fusion mass building drawing method

A graphic image, massive technology, applied in the field of urban 3D model, can solve problems such as error-prone, difficult to implement, complex algorithm, etc., to achieve the effect of maintaining roaming continuity and improving carrying capacity

Active Publication Date: 2018-09-11
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to provide a massive building drawing method for graphic image fusion, to solve the problems of difficult implementation and error-prone problems caused by complex algorithms in the prior art

Method used

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  • Graphic image fusion mass building drawing method

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Embodiment Construction

[0058] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0059] In human visual processing, although the scene seen by the human eye is vast and complex, the brain only focuses on some objects in the scene, that is, the area of ​​visual interest, and the area of ​​interest will be prioritized by the brain. The present invention applies the principle to the three-dimensional simulation of a large number of urban buildings, and the interest degree of the user gradually decreases as the distance of the viewpoint changes from near to far. According to the user's different degrees of interest in different areas in the scene, it is divided into areas of interest, areas of secondary interest and areas of non-interest, and different priority drawing strategies are used for different areas. Prioritize interactive real-time rendering of regions of interest. For sub-interest and non-interest areas, draw when the user stops d...

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Abstract

The invention relates to the field of urban three-dimensional models, and specifically relates to a graphic image fusion mass building drawing method. The method comprises the steps: firstly drawing an AOI (area of interest) through a real-time graphic method on the basis of LOD and internal and external storage scheduling; dynamically generating texture images for a secondary AOI and a non-AOI according to the position of a visual point, and carrying out the screen fusion, thereby achieving the complete rendering of a scene. The method maintains the roaming continuity of graphic rendering, and the image rendering is independent of the scene complexity. Meanwhile, the method can effectively improve the bearing capability of a system under the same hardware condition, also can achieve the scene roaming of hundreds of thousands of buildings under the hardware condition of relatively lower performances, and can achieve the complete drawing of a scene without visual loss.

Description

technical field [0001] The invention relates to the field of three-dimensional models of cities, in particular to a method for drawing massive buildings by fusion of graphics and images. Background technique [0002] Smart city construction is an effective means to achieve sustainable urban development. Virtual cities, as an important part of smart city construction, have application value in military, urban planning, traffic navigation, social entertainment and other fields. Due to the massive and complex structure of urban 3D data, the lack of an efficient and complete visualization system is often one of the bottlenecks affecting the application of digital cities. With the advancement of technology, especially the rapid development of lidar, drones, oblique photography and other technologies, it has become a reality to obtain a large-scale urban 3D model with texture information in a relatively short period of time. The modeling efficiency of digital city 3D building mod...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/10G06T15/00G06T15/04G06T7/11G06T5/50G06F17/50
CPCG06T5/50G06T7/11G06T15/005G06T15/04G06T17/10G06T2207/20104G06T2207/20221G06T2210/04G06T2210/61G06F30/13
Inventor 周杨胡校飞赵海鹏张龙陈安东
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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