Point cloud simplification method based on curved surface change

A point cloud simplification and curved surface technology, applied in image data processing, instruments, etc., can solve the problems of simple and scattered point cloud data not suitable for surface features, low efficiency of simplification, and large amount of calculation
CN105069845AInactive Publication Date: 2015-11-18NANJING UNIV OF INFORMATION SCI & TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
NANJING UNIV OF INFORMATION SCI & TECH
Publication Date
2015-11-18
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The present invention discloses a point cloud simplification method based on curved surface change. The method comprises the steps of carrying out space grid rasterization on scattered point cloud, calculating curved surface change and dividing each point into three different characteristic areas according to the curved surface change, using the curved surface change to define an approximate characteristic point threshold, calculating the simplification ratios of points whose curved surface changes are smaller than the characteristic point threshold according to different characteristic areas to which the points belong, and defining a distance threshold to complete simplification by the simplification ratios. Compared with a traditional method, the calculation speed of the method is fast, and a characteristic boundary and surface details can be maintained.
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Description

technical field

[0001] The invention belongs to the fields of computer vision, surveying and mapping science and reverse engineering, and in particular relates to a point cloud simplification method based on surface changes. Background technique

[0002] With the rapid development of 3D scanning technology, it is widely used in reverse engineering, innovative design of industrial products, physical simulation, protection and restoration of cultural relics and other fields, and has produced more and more far-reaching influence. Because the 3D scanning equipment can quickly collect a large amount of 3D data on the surface of the measured object, the obtained data has a large density and a large number, which is called massive data. Massive data brings constraints on data transmission, storage and subsequent data modeling, so it is necessary to streamline massive 3D point cloud data.

[0003] At present, the simplification of point cloud data is mainly divided into two types b...

Claims

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