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A 2D Point Cloud Matching Method

A point cloud matching and point cloud technology, applied in the field of computer vision and pattern recognition

Inactive Publication Date: 2018-05-22
LINGNAN NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to: provide a method for two-dimensional point cloud matching under affine transformation, to solve the matching problem of two-dimensional point clouds of two images obtained by cameras in the field of computer vision and pattern recognition

Method used

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  • A 2D Point Cloud Matching Method
  • A 2D Point Cloud Matching Method
  • A 2D Point Cloud Matching Method

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Embodiment Construction

[0022] Obtain the 2D point cloud of two images through the camera {X j} and {y k}, {X j} is the coordinates of the two-dimensional point cloud under the coordinate system X′Y′ of the first image, specifically expressed as (x′(j), y′(j)), {Y k} is the coordinates of the two-dimensional point cloud under the coordinate system X″Y″ of the second image, specifically expressed as (x″(k), y″(k)), where j and k are both positive integers, because the captured The two images are affected by noise, making the two-dimensional point cloud {X j} with the 2D point cloud {Y k} The position of the corresponding point has changed, that is, the two-dimensional point cloud {X j} to the 2D point cloud {Y k} The position correspondence of the midpoint has changed, and this change is produced by translation, scale, rotation and deformation.

[0023] The two-dimensional point cloud {X j} and 2D point cloud {Y k} Input to the following objective function formula (1) for point cloud matching:...

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Abstract

The invention discloses a two-dimensional point cloud matching method. Input the two-dimensional point clouds of the two images obtained through the camera into the objective function, and introduce the Lagrangian multiplier and penalty function in the objective function to transform the corresponding matrices of the two point clouds, and then find the objective function Saddle points, find the corresponding matrix between two point clouds, and complete the matching of two-dimensional point clouds. This method can improve the accuracy of two-dimensional point cloud matching.

Description

technical field [0001] The invention relates to the fields of computer vision and pattern recognition, in particular to two-dimensional point cloud matching in digital image processing. Background technique [0002] Point cloud matching is an important and basic problem in the field of computer vision and pattern recognition. Its main task is to match and transform points in two images of the same scene that satisfy a certain geometric transformation relationship, so as to identify Finding a method with high accuracy of two-dimensional point cloud matching has become an urgent problem to be solved in this research field. Contents of the invention [0003] The purpose of the present invention is to provide a method for matching two-dimensional point clouds under affine transformation, so as to solve the matching problem of two-dimensional point clouds of two images obtained by cameras in the field of computer vision and pattern recognition. The technical scheme of the inve...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/00G06T7/00
CPCG06T3/16
Inventor 刘忠艳乔付周波车向前边莉
Owner LINGNAN NORMAL UNIV
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