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Method for automatically acquiring feature point parameters of target object

A target object and feature point technology, applied in the computer field, can solve the problem of low efficiency of feature point parameters, and achieve the effect of improving data processing efficiency, ensuring quality, and ensuring accuracy

Pending Publication Date: 2022-02-22
边辕视觉科技(上海)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for automatically obtaining the parameter of the feature point of the target object to solve the problem of low efficiency of obtaining the parameter of the feature point

Method used

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  • Method for automatically acquiring feature point parameters of target object

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Embodiment approach

[0028] Such as figure 1 As shown, according to an embodiment of the present invention, a method for automatically obtaining the feature point parameters of the target object of the present invention includes the following steps:

[0029] S1. Install the image acquisition device on the end of the robotic arm, and the robotic arm drives the image acquisition device to capture a two-dimensional image of the target object;

[0030] S2. Acquire the mechanical arm coordinate system of the mechanical arm, and acquire the relative positional relationship between the image acquisition device and the mechanical arm coordinate system based on hand-eye calibration;

[0031] S3. Obtain the pose parameters of the mechanical arm, and obtain the pose parameters of the image acquisition device based on the pose parameters and the relative positional relationship;

[0032] S4. Obtain the image projection coordinate system in the image acquisition device and the world coordinate system where th...

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Abstract

The invention relates to a method for automatically acquiring feature point parameters of a target object, which comprises the following steps: S1, mounting an image acquisition device at the tail end of a mechanical arm, and driving the image acquisition device by the mechanical arm to shoot a two-dimensional image of the target object; s2, obtaining a mechanical arm coordinate system of a mechanical arm, and obtaining the relative position relation between an image collecting device and the mechanical arm coordinate system based on a hand-eye calibration mode; s3, obtaining pose parameters of the mechanical arm, and obtaining machine position pose parameters of the image collecting device on the basis of the pose parameters and the relative position relation; s4, acquiring an image projection coordinate system in the image acquisition device and a world coordinate system of the position of the target object; s5, acquiring a target pose of a target object in the two-dimensional image based on the camera pose parameters, the image projection coordinate system and the world coordinate system; and S6, obtaining feature point parameters of the target object based on the target pose. The method is high in efficiency.

Description

technical field [0001] The invention relates to the field of computers, in particular to a method for automatically acquiring the parameter of a feature point of a target object. Background technique [0002] Pose estimation has applications in many fields such as robot vision, motion tracking, and single-camera calibration. The sensors used for attitude estimation in different fields are different. Here we mainly talk about vision-based attitude estimation. Vision-based pose estimation can be divided into monocular vision pose estimation and multi-eye vision pose estimation according to the number of cameras used. [0003] At present, many research programs are basically based on the laser point cloud to estimate the target attitude, and the hardware equipment used to obtain the data is extremely expensive and has a short service life. At the same time, its processing process is complex and inefficient due to its large amount of data. Contents of the invention [0004]...

Claims

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Application Information

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IPC IPC(8): G06T7/73G06T7/246G06T7/80
CPCG06T7/73G06T7/246G06T7/80G06T2207/10016
Inventor 胡振程房家骥
Owner 边辕视觉科技(上海)有限公司
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