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A global three-dimensional human posture credible estimation method based on two views

A technology of human posture and view, applied in computing, image enhancement, image analysis and other directions, can solve the problems of difficulty in obtaining 3D posture data sets, large differences in individual body proportions and sizes, and high dimensionality of 3D posture state parameters. Effects of 3D and Global 3D Human Pose Estimation

Active Publication Date: 2019-02-22
ZHEJIANG UNIV +1
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the 3D pose data set is difficult to obtain and the scale is small; at the same time, the state parameters of the 3D pose have a high dimensionality, and the individual body proportions and sizes vary greatly
This leads to the inability to guarantee the reliability of the 3D pose estimation results

Method used

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  • A global three-dimensional human posture credible estimation method based on two views
  • A global three-dimensional human posture credible estimation method based on two views
  • A global three-dimensional human posture credible estimation method based on two views

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Embodiment Construction

[0063] A method for reliable estimation of three-dimensional human poses for two views, comprising the following steps:

[0064] (1) Obtain N frames of images (N ≥ 100) from the left and right cameras respectively; use N groups of one-to-one corresponding left and right views to perform preliminary estimation of the two-dimensional human body posture respectively, and obtain the initial two-dimensional image of N groups of joint points. dimension position;

[0065] Each group of joint points contains 14 joint points of the human body. According to the existing records, the names of each joint point are as follows: , such as image 3 shown. The corresponding numbers of joint points are , and the corresponding parent joint numbers of each joint point are . Among them, # means no parent node, joint point 9 (Hip.L) and joint point 13 (Hip.R) do not form a fixed bone length with the parent joint point (Neck), and other joint points form a joint with the parent joint point. Bone...

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Abstract

The invention provides a global three-dimensional human posture credible estimation method based on two views, which can be used for unmarked human motion capture. The core innovation points of the invention are as follows: Firstly, the invention proposes to detect unreliable joint points based on the polar geometry constraint and the human bone length constraint in two views. Secondly, the invention proposes to correct unreliable joints by polar constraint and bone length constraint based on the confidence diagram of the joint estimated by the network. Finally, the invention provides a simpleand efficient camera external parameter automatic calibration technology and a bone length calculation method. The invention can realize stable and reliable two-dimensional and global three-dimensional human posture estimation for anyone with different body shapes without using human body model or assuming any prior knowledge of human body. The posture generated by the invention satisfies the epipolar geometry constraint of two views and the human bone length constraint, and realizes robust and reliable human posture estimation under challenging scenarios such as severe occlusion, symmetric ambiguity, motion blur and the like.

Description

technical field [0001] Given two views of a human subject, the present invention aims at estimating plausible 3D human poses satisfying epipolar geometry constraints and bone length constraints. First, the present invention proposes a method for detecting unreliable joint point estimation using two-view epipolar geometry constraints and human bone length constraints. Secondly, the present invention proposes an unreliable joint correction method for polar line constraints and bone length constraints. Finally, the present invention proposes automatic camera extrinsic calibration and bone length calculation methods. For challenges such as severe occlusion, symmetric ambiguity, and motion blur in human body pose estimation, the present invention achieves robust and credible pose estimation. The present invention can realize stable and credible two-dimensional and global three-dimensional human body posture estimation for any person with different skeleton sizes and proportions w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/246G06T7/292G06T17/00G06T5/00
CPCG06T7/251G06T7/292G06T17/00G06T2207/10012G06T2207/20081G06T2207/20084G06T2207/30196G06T5/80
Inventor 刘新国李妙鹏周子孟
Owner ZHEJIANG UNIV
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