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Method and system for estimating human hand posture

A posture estimation and posture technology, applied in the field of image recognition, can solve problems such as difficult to obtain high-precision human posture estimation results

Inactive Publication Date: 2018-12-07
TSINGHUA UNIV
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Problems solved by technology

[0006] In order to overcome the problem that the existing hand pose estimation method is difficult to obtain high-precision hand pose estimation results, the present invention provides a human hand pose estimation method and system

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  • Method and system for estimating human hand posture
  • Method and system for estimating human hand posture

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Embodiment Construction

[0043] 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.

[0044] figure 1 It is a schematic diagram of the overall flow of a human hand pose estimation method according to an embodiment of the present invention, as figure 1 As shown, the present invention provides a method for estimating the posture of a human hand, including:

[0045] S1, acquiring a depth image of the target hand, inputting the depth image to the convolutional layer of the first preset neural network, and outputting a feature map of the target hand;

[0046] Specifically, in this embodiment, the hand that needs pose estimation is taken as the target hand. First, obtain the depth image of the target hand, where the gray value of each pixel in the depth image ...

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Abstract

The present invention provides a method and a system for estimating a human hand posture, wherein the method includes: acquiring a depth image of a target hand, inputting the depth image to a convolution layer of a first preset neural network, and outputting a feature map of the target hand; inputting the feature map and a posture estimation result of the previous iteration to a decision layer ofthe first preset neural network, and outputting a posture estimation result of the current iteration; and if the deviation between the posture estimation result of the current iteration and the posture estimation result of the previous iteration is less than a preset threshold value, using the posture estimation result of the current iteration as the final posture estimation result of the target hand. The method and the system can maximize the accuracy of the posture estimation result and solve the problem that the posture estimation result is inaccurate due to the self-similarity between thefingers.

Description

technical field [0001] The present invention relates to the technical field of image recognition, and more specifically, to a method and system for estimating a human hand pose. Background technique [0002] The problem of hand pose estimation refers to accurately estimating the three-dimensional coordinate positions of the human hand skeleton nodes from the image. This is a key issue in the fields of computer vision and human-computer interaction, and has important implications in fields such as virtual reality, augmented reality, non-contact interaction, and gesture recognition. With the rise and development of commercial and cheap depth cameras, hand pose estimation algorithms based on depth images have become a hot topic. [0003] Existing methods for hand pose estimation generally fall into three categories: model fitting methods, discriminative methods, and hybrid methods. The model fitting method uses an optimization method to fit a predefined hand model to the inpu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/107G06N3/045
Inventor 王贵锦陈醒濠季向阳
Owner TSINGHUA UNIV
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