Point cloud data compression method and system based on projection and video stitching

Abstract

The invention provides a point cloud data compression method and system based on projection and video stitching. The method comprises the following steps: analyzing the geometric attribute features ofpoint cloud data, determining a corresponding projection strategy, and determining an optimal projection angle; and projecting the projection areas at the same projection angle for multiple times toobtain a group of two-dimensional pictures with spatial correlation at the same angle. According to the invention, coordinate conversion is carried out on the point cloud data to adapt to a corresponding projection mode, and the problem of shielding of the intensive point cloud is solved in a same-angle multi-projection mode. According to the invention, projection pictures are spliced into a videoform; converting the single spatial correlation between the pictures into the temporal correlation between the video frames; point cloud data of a three-dimensional space is subjected to dimensionality reduction to a two-dimensional plane in a projection mode, projected pictures are spliced into a video format, then an existing coding tool is fully utilized for compression coding, the compressionperformance is improved, and the efficiency can be greatly improved by adopting the existing coding tool.

Description

technical field [0001] The present invention relates to the field of point cloud data compression based on projection and video splicing, in particular, to a point cloud data compression method and system based on projection and video splicing. Background technique [0002] In recent decades, 3D scanning technology and systems have become more and more mature. The manufacturing cost of 3D scanners has been reduced, the accuracy has become higher and higher, and its applications have become more and more extensive. It can quickly and accurately obtain and store 3D coordinate information on the surface of an actual object. , so that point cloud data can be widely used in scientific research and image processing related fields in industry. [0003] Point cloud data is the data information of the three-dimensional coordinates of the object after three-dimensional scanning, and may also record information such as RGB and depth. With the improvement of the accuracy and speed of t...

AI Technical Summary

Problems solved by technology

However, during projection, due to the irregularity and density of the point cloud, there will usually be a problem that the projected points overlap on the two-dimensional plane and cause data loss, which is the so-called occlusion problem.

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