Optical unmarked three-dimensional human body motion capture method

A human motion, markerless technology, applied in the field of three-dimensional human motion capture, can solve the problems of human motion restraint, reduce the time taken for a single human motion capture, etc., to achieve the effect of speeding up program execution, easy design process, and satisfying real-time performance.

Inactive Publication Date: 2019-12-31
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0009] The invention provides an optical three-dimensional human body motion capture method without markers, which solves the problem of the traditional non-optic

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  • Optical unmarked three-dimensional human body motion capture method
  • Optical unmarked three-dimensional human body motion capture method
  • Optical unmarked three-dimensional human body motion capture method

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Embodiment Construction

[0034] The present invention will be described in detail below in conjunction with the accompanying drawings and specific examples, but not as a limitation of the present invention.

[0035] figure 1 It is a schematic flow chart of the optical marking-free three-dimensional human body motion capture method of the present invention. In this embodiment, the method includes the following parts:

[0036] 1. Use Zhang Zhengyou's calibration method to perform stereo calibration on the two cameras used in the system, and obtain the internal and external parameter matrices of the two cameras, as well as the rotation matrix and translation matrix between the two cameras;

[0037] 2. Using the positions of different joint points and their corresponding relationship with the real human body, and according to the actual direction of human body limbs, determine the number and connection relationship of the extracted 18 human joint points;

[0038] 3. Using the deep convolutional neural n...

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Abstract

The invention provides an optical unmarked three-dimensional human body motion capture method, solves the problem of constraint of traditional non-optical and optical marked human body motion capturemethods on human body motion, and reduces the duration of single human body motion capture to a certain extent. The method comprises the following steps: determining a human body joint number and a connection relationship among all joint points by utilizing a corresponding relationship between positions of different joint points and a real human body; performing two-dimensional joint point extraction of the multi-angle human body image and limb skeleton connection lines between joint points by utilizing a deep convolutional neural network and combining the serial number and the connection relationship to obtain two-dimensional coordinate information of the human body joint points; and drawing a human body skeleton model in a three-dimensional space by utilizing a conversion relationship between different coordinate systems and the two-dimensional coordinate information of the human body articulation points.The skeleton model reflects real human body posture motion information in the three-dimensional space, and the motion capture method is conveniently applied to the field of human body motion analysis subsequently.

Description

technical field [0001] The invention provides an optical markless three-dimensional human motion capture method, which belongs to the field of 3D human motion capture. Background technique [0002] 3D human body motion capture refers to the use of certain methods or means to obtain the three-dimensional space coordinates and three-dimensional space distribution of human joint points through sensor perception and background program calculations, and according to the interconnection relationship between each joint point, point and The connection between the points, and finally draw the human skeleton model in the three-dimensional space coordinate system, so as to achieve the purpose of human motion motion capture. [0003] At present, this research direction is a research hotspot in the field of computer vision. Different from the traditional method of human body posture detection through wearable sensors (Hu Xiaohua, Li Xiangpan. Design of wearable human body posture detect...

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Application Information

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IPC IPC(8): G06F3/01G06N3/04
CPCG06F3/011G06N3/045
Inventor 陈文颉游清李晔陈杰窦丽华
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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