Method for simplifying multi-view point cloud by using region segmentation and grouping random simplification method

Abstract

The invention discloses a method for simplifying multi-view point cloud by using a region segmentation and grouping random simplification method. Firstly, point clouds in an overlapping region of adjacent point clouds are extracted by using a bounding box method, and the point clouds are segmented into overlapping region point clouds and non-overlapping region point clouds; secondly, the point clouds of the overlapping region are simplified by using a grouping random simplification algorithm; and finally, after all the overlapping region point clouds are simplified by n steps, the overlappingregion point clouds and the non-overlapping region point clouds are combined into an integral point cloud, and the integral point cloud is simplified for the first time according to the requirement ofthe simplification rate. Experimental results show that under the same simplification rate, compared with a traditional bounding box simplification algorithm, the algorithm can better reduce detail damage to the point cloud of a target object, and point cloud details and features of the target object are reserved to the maximum extent.

Description

technical field [0001] The invention belongs to the technical field of image three-dimensional reconstruction, and more specifically relates to a method for simplifying multi-view point clouds by region segmentation and group random reduction. Background technique [0002] Because the somatosensory device Kinect V2 launched by Microsoft has the advantages of simple operation, easy to use, and low price in the field of 3D reconstruction of point cloud information collection, it has attracted the attention of many researchers. Kinect V2 can acquire a very large number of point clouds, and can acquire thousands of points per second on average. These point clouds are not only dense, but also contain many repeated and redundant points. If the point cloud is not streamlined, these redundant point clouds will occupy a large amount of storage space, and direct surface reconstruction will definitely cause a lot of time and computing resources to be wasted. Therefore, the research a...

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Problems solved by technology

[0005] Aiming at the above defects or improvement needs of the prior art, the present invention provides a method for streamlining multi-viewpoint cloud by region segmentation and group random simplification. The adjacent point clouds in the overlapping area are simplified, thereby solving the technical problems in the prior art that the point cloud density in the overlapping area is too large, which takes up too much storage space and reduces computer efficiency

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