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Precise splicing method of large complex curved surface multi-view scanning point cloud

A complex surface and scanning point technology, applied in the field of precise splicing of multi-view scanning point clouds of large and complex surfaces, can solve the problems of inability to solve overlapping point cloud registration, long search time, low computing efficiency, etc. , Improve the precision of fine splicing and shorten the search time

Pending Publication Date: 2020-12-25
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

However, this technology has the following defects: it cannot solve the registration of partially overlapping point clouds with low overlap rate
However, this technology has the following defects: long search time, low computing efficiency, etc.

Method used

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  • Precise splicing method of large complex curved surface multi-view scanning point cloud
  • Precise splicing method of large complex curved surface multi-view scanning point cloud
  • Precise splicing method of large complex curved surface multi-view scanning point cloud

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Embodiment Construction

[0031] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0032] The 3D measurement of large and complex surfaces usually cannot obtain the 3D shape data of the entire surface through one measurement, but can only obtain multi-view point clouds by measuring from multiple different perspectives, and then stitching these multi-view point clouds (also called "registration" ) as a whole. The stitching of multi-view cloud is usually divided into two steps,...

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Abstract

The invention discloses a precise splicing method of large complex curved surface multi-view scanning point cloud, and belongs to the field of three-dimensional point cloud registration. According tothe invention, a hybrid optimization algorithm of a fruit fly optimization algorithm and an improved nearest point iterative algorithm is adopted to realize fine splicing of large complex curved surface point clouds, and the problems of low convergence rate and easy falling into local optimum in the prior art are solved by combining the local high-efficiency optimal search capability of an ICP algorithm and the global optimal search capability of an FOA algorithm. The precise splicing precision of the large complex curved surface multi-view scanning point cloud is effectively improved. The roughly spliced point cloud is processed through an FOA-ICP algorithm and then a multi-view cloud spliced in a high-precision mode is output, and the surface topography of a measured object is truly reflected. According to the method, the FOA splicing algorithm is improved, the optimal target parameter is simplified into the three-dimensional translation vector from the six-dimensional vector, the search of the abandoned three-dimensional rotation vector is compensated through the fused ICP algorithm, and the search efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of three-dimensional point cloud registration, and more specifically relates to a method for fine splicing of large complex curved surface multi-view scanning point clouds. Background technique [0002] The 3D measurement of large and complex surfaces cannot obtain the 3D shape data of the entire surface through one measurement, but can only obtain multi-view point clouds from different perspectives, and then stitch these multi-view point clouds (also called "registration") into one overall. The stitching of multi-view cloud is usually divided into two steps, coarse stitching and fine stitching. The point cloud after rough stitching by a certain method has very low stitching accuracy and cannot accurately represent the real shape of the measured object. It needs to be stitched again by a fine stitching method to improve the accuracy. Finally, perform 3D reconstruction on the finely spliced ​​point cloud (c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T7/35G06N3/00
CPCG06T3/4038G06T7/35G06N3/006G06T2200/32G06T2207/10028
Inventor 陶波望金山龚泽宇尹周平
Owner HUAZHONG UNIV OF SCI & TECH
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