Machine vision and speckle-based measurement method and human body measurement method

A machine vision and measurement method technology, applied in measurement devices, instruments, weighing and other directions, can solve the problems of low measurement accuracy, limited application occasions, and limited volume of the object to be measured, and achieve the effect of high measurement accuracy and wide application occasions.

Active Publication Date: 2017-05-31
苏州合之木智能科技有限公司
View PDF4 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this three-dimensional image measurement method has strict restrictions on the volume of the measured object, and the measurement accuracy is low, so the application is limited

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Machine vision and speckle-based measurement method and human body measurement method
  • Machine vision and speckle-based measurement method and human body measurement method
  • Machine vision and speckle-based measurement method and human body measurement method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0046] See figure 1 As shown, the present invention is based on the measuring method of machine vision and speckle, comprises the following steps:

[0047]S0: multi-camera global calibration. Firstly, the calibration board is placed in the measurement field of view and placed in different poses, then the cameras of all measuring heads collect images in different poses synchronously, and the collected images are processed to obtain the Intrinsic and extrinsic parameters. The measurement field of view is the common field of view of the cameras of all measuring heads. Both the front and the back of the calibration plate are evenly printed with circular coded markers and d...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a machine vision and speckle-based measurement method, which comprises the following steps: (S1) image data collection; (S2) three-dimensional point cloud reconstruction of a measured object; (S3) three-dimensional point cloud registration of the measured object; and (S4) finite element partition and summation, namely carrying out finite element mesh partitioning on a complete point cloud model and carrying out integral summation through a differential element method to obtain the area or the volume of the measured object. Compared with the prior art, the area or the volume of a large object can be measured through the machine vision and speckle-based measurement method, the measurement accuracy is relatively high; the machine vision and speckle-based measurement method realizes noncontact measurement; and the application occasion is wide.

Description

technical field [0001] The invention relates to a measurement method based on machine vision and speckles and a human body measurement method. Background technique [0002] Non-contact measurement is a measurement method based on photoelectric, electromagnetic and other technologies to obtain parameter information such as the area and volume of the object without touching the surface of the object to be measured. Typical non-contact measurement methods include laser triangulation, ultrasonic measurement, and the like. With the development of machine vision, machine vision has gradually shown great potential in the field of measurement, such as: flow channel section calculation, surface area calculation, and irregular volume calculation. [0003] At present, there is a three-dimensional image measurement based on machine vision on the market. It uses the CCD to collect the image of the sample under the zoom lens, and then cooperates with the XYZ axis moving platform and the ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01B11/28G01B11/00G01G9/00G01B11/245G01B11/25
CPCG01B11/00G01B11/245G01B11/25G01B11/28G01G9/00
Inventor 张龙刘建立邢渊博王明尧刘志国黄众众
Owner 苏州合之木智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products