Method and system for deleting small virtual images in virtual three-dimensional model of house source

Abstract

The invention provides a method and a system for deleting a small virtual image in a virtual three-dimensional model of a house source. The method comprises the following steps: acquiring a three-dimensional point cloud of the house source and uniformly dividing all point data into three-dimensional arrays; calculating the point position information and the number of the point position informationcorresponding to each element; if it is judged that the number of the point information corresponding to the first element in the three-dimensional array is 1, and the ray emitted from the point information satisfying the first preset condition does not contain point data in the elements passing through before reaching the first element, the first element being marked as a virtual node; performing breadth-first searching on each first element to obtain a corresponding connecting element; if it is judged that the obtained connecting element satisfies the second preset condition, the connectingelement being marked as a virtual image node; deleting the point data contained in the virtual node from the 3-D point cloud. The method and the system can improve the display effect of the three-dimensional model of the house source.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for deleting small virtual images in a virtual three-dimensional model of housing resources. Background technique [0002] In the process of building the indoor 3D model of the house, it is necessary to use a depth camera for data collection. In addition to taking a plane image of the object, the depth camera can also measure the distance from the object to the camera, thereby realizing 3D imaging. [0003] Each house source can include multiple functional rooms, for example, it can include functional rooms such as bedroom, living room, kitchen, bathroom, and balcony. In the process of shooting a house, there will be shooting points in each functional room, and multiple point data can be captured, and these point data will generate point cloud data of the functional room. In the final display, these independent point cloud data need to be spliced ​​into a c...

AI Technical Summary

Problems solved by technology

[0004] However, in the process of taking pictures of the house source by the depth camera, due to various reasons, such as light, equipment and other reasons, there are many noise points in the captured point cloud data. These noise points may be dotted line points that do not exist in reality, or It may be points in small objects in the virtual image. These noise points are invalid point data. If these point data are used to construct the 3D model of the listing, the display effect of the 3D model of the listing will be reduced

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