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Human body dimension measurement method based on Kinect depth camera

A technology of depth camera and measurement method, which is applied in image data processing, instrumentation, calculation, etc., can solve the problems of high computational complexity of human body size, difficult identification of human body features, and poor scanning accuracy of human body, etc. The effect of improving operation efficiency and reducing system cost

Active Publication Date: 2017-05-31
QINGDAO POINT CLOUD INTELLIGENT TECH CO LTD
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for measuring key dimensions of a three-dimensional human body based on a Kinect depth camera, which solves the problems of poor human body scanning accuracy, high system cost, difficulty in identifying some human body features, and high computational complexity of human body dimensions in the prior art. question

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  • Human body dimension measurement method based on Kinect depth camera
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  • Human body dimension measurement method based on Kinect depth camera

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Embodiment Construction

[0021] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0022] The complete steps of the inventive method comprise:

[0023] 1. Depth camera calibration

[0024] Using Zhang's calibration method to calibrate, using the Kinect depth camera to obtain multiple depth images from different angles. The original depth image is up-sampled to improve the resolution of the depth image so as to extract corner points with high precision. The calibration is completed through the correspondence between each feature point on the calibration board and the image point of its image plane, that is, through the homography matrix of each image, and the automatic extraction of corner point information can be realized through OpenCV to complete the calibration.

[0025] 2. Deep image processing

[0026] Using the joint bilateral filtering algorithm, the high-resolution color image is used to enhance the quality of th...

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Abstract

The invention discloses a human body dimension measurement method based on a Kinect depth camera, and belongs to the technical field of machine vision. The method comprises the following steps that: (1) depth camera calibration: carrying out up-sampling on an original depth image, and automatically extracting angular point information through OpenCV (Open Source Computer Vision Library) to finish calibration; (2) depth image processing: adopting a united bilateral filtering method, and utilizing a high-resolution color image to improve the quality of the depth image and reduce noise interference in the depth image; (3) point cloud fusion and bone point information acquisition; and (4) human body dimension calculation. While system cost is lowered, the accuracy requirement of garment customization is guaranteed, the human body bone point information is used for enabling a human body characteristic identification algorithm to be simpler, and the operation efficiency of a software system is effectively improved.

Description

technical field [0001] The invention belongs to the field of machine vision, and relates to a method for measuring key feature dimensions of a three-dimensional human body based on a Kinect depth camera, which can be applied to smart clothing customization, Internet electronic fitting, and the like. Background technique [0002] In line with the trend of the Internet + era, industries such as computers, clothing manufacturing and sales, and film and television animation are rapidly developing toward intelligence. Many companies, teaching, and scientific research institutions have an increasing demand for anthropometry, and 3D human body scanning applications are becoming more and more popular. more and more widely. At the same time, 3D human body scanning technology will change the operation mode of many traditional industries. [0003] At present, the commonly used 3D body size measurement methods include 16 ASUS Xtion 3D body measurement systems, 3 Kinect static measureme...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/80G06T7/73
CPCG06T2207/10028G06T2207/30196
Inventor 张维忠袁翠梅闫和东郑孟琦张凡帅禚冠军闫肖东张玉明姚孟奇
Owner QINGDAO POINT CLOUD INTELLIGENT TECH CO LTD
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