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Head and face size and shape classification method based on three-dimensional point cloud coordinates

A three-dimensional point cloud and classification method technology, applied in computer parts, instruments, computing and other directions, can solve the problems of not comprehensively considering the shape information and surface information of the head and face, and the limitations of the extracted feature parameters, so as to improve the accuracy and improve the The effect of analytical efficiency

Active Publication Date: 2021-02-26
CHINA NAT INST OF STANDARDIZATION +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method extracts the head feature parameters of minors through 3D scanning, the extracted feature parameters are still limited to head length and head circumference. Therefore, the shape information of the head and face is not fully considered when classifying the head size. and surface information

Method used

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  • Head and face size and shape classification method based on three-dimensional point cloud coordinates
  • Head and face size and shape classification method based on three-dimensional point cloud coordinates
  • Head and face size and shape classification method based on three-dimensional point cloud coordinates

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Experimental program
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Effect test

Embodiment 1

[0055] like figure 1 As shown, a head and face shape classification method based on three-dimensional point cloud coordinates includes the steps:

[0056] Step 1: Collect 3D point cloud data of head and face;

[0057] Step 2: Define key parameters and get the radius of key points;

[0058] Step 3: Data processing to obtain the final head and face data model;

[0059] Step 4: According to the final head and face data model, use principal component analysis to complete the head size classification.

[0060] In step 1, the head and face are scanned with a three-dimensional scanning device to obtain three-dimensional point cloud data of the head and face.

[0061] In this embodiment, the number of point clouds obtained for the entire head is between 38,420 and 56,200, and the number of point clouds on the upper head (more than two ears) is between 15,223 and 24,221. The number of point clouds in the forward π / 2 range) is between 2809 and 3977.

[0062] Step 2 includes sub-ste...

Embodiment 2

[0130] According to the results of the principal component analysis, a more refined principal component analysis panel can be established to conduct a more detailed analysis of the size, such as dividing the head size into 8 medium sizes or even more medium sizes; it is also possible to analyze the facial shape Sort by size. The results of the classification can provide a basis for the design of head and face products, such as helmets, masks, goggles, protective masks and other product design models.

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Abstract

The invention provides a head and face size and shape classification method based on three-dimensional point cloud coordinates. The head and face number type classification method comprises the stepsthat 1, head and face three-dimensional point cloud data are collected; 2, key parameters are defined, and key point radiuses are obtained; 3, data processing is performed to obtain a final head and face data model; and 4, according to the final head and face data model, head size and shape classification is completed through principal component analysis. The step 3 comprises the following sub-steps: step 31, denoising the acquired head and face three-dimensional point cloud data; step 32, for the denoised point cloud data, performing coordinate adjustment on each grid vertex of the data model; 33, filling a hole; and 34, carrying out fairing. According to point cloud data obtained through three-dimensional scanning, shape information and curved surface information of the head and the faceare comprehensively considered; the data processing process is completed by selecting the data processing template, the data restoration and noise reduction effects are achieved, and the analysis efficiency is improved; and meanwhile, principal component analysis is creatively carried out on point cloud coordinates, so that the accuracy of head number size and shape classification is improved.

Description

technical field [0001] The invention relates to the technical field of head type classification, in particular to a head and face type classification method based on three-dimensional point cloud coordinates. Background technique [0002] The measurement and observation items of the human head and face can reflect the morphological characteristics of the head and face, which are important indicators of human population genetics research. At the same time, the accuracy of head and face data and accurate size classification based on head and face data are also crucial to the design of head and face products. The traditional head and face features are mostly described by one-dimensional or two-dimensional data, so they can only represent the length, width, and circumference of the head and face. The shape and curve of the head and face are very complex, and neither one-dimensional or two-dimensional data can fully reflect it. The shape information and surface information betwe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/40G06K9/62
CPCG06V40/10G06V10/30G06F18/2135G06F18/24
Inventor 冉令华钮建伟周玉霖刘静赵朝义张欣呼慧敏
Owner CHINA NAT INST OF STANDARDIZATION
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