Range image-based 3D spatial data processing method and device

Abstract

The invention relates to a range image-based 3D spatial data processing method and a device. In the method, ground laser radar is adopted to scan an object to obtain 3D point cloud data on the surface of the object; a database object table is established by a PL / SQL programming approach; a reference datum is fit according to point cloud which is segmented in advance to generate a minimum bounding box (MBB) of the point cloud and subsequently generate the range image according to the reference datum obtained by fitting. Later, data of the MBB and the range image are written into the database object table and the relation between the MBB and a range image object is established, subsequently, R tree 3D spatial database index is established for the database objects which enter the database, finally, visualization is realized based on Oracle Objects for OLE (OO4O) and OpenGL.

Description

technical field [0001] The invention belongs to the fields of computer graphics and three-dimensional visualization, and relates to a method and device for processing three-dimensional space data based on depth images. Background technique [0002] In the 1990s, a new measurement technology that used terrestrial lidar to obtain three-dimensional information of space objects appeared. The data obtained by terrestrial lidar scanning can express objects in detail, and for objects with complex structures, such as those that are more complex than modern buildings There are many ancient architectural structures, the amount of data obtained by scanning is not only huge, but also the data has the characteristics of typical ancient architectural components. Therefore, how to effectively segment, simplify, model rebuild, and model organize and manage large-scale 3D laser scanning data of ancient buildings according to different characteristics, so as to achieve fast browsing and smoot...

AI Technical Summary

Problems solved by technology

The second is obtained from aerial remote sensing images by photogrammetry, but it is much smaller than the amount of point cloud data obtained by laser measurement technology

When drawing a grid with a large amount of data, these methods play a certain role in optimization. For example, Out-of-Core technology is a commonly used technology in computer graphics display to speed up the display speed. The data to be displayed is organized according to certain rules. In the external memory, the data in the external memory is directly transferred to the internal memory for display when drawing, without too much memory calculation, and the Out-of-Core technology is applied to the rapid display of the 3D laser scanning point cloud on the ground, but its experiment The amount of data processed in is small, and organizing the data into a format suitable for Out-of-Core display usually requires a lot of computing time

However, it does not consider the need to quickly load raw data in practical applications, and organize raw data into a format suitable for display in a short period of time.

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