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Parameter inference method and device

A parameter and inference technology, applied in the field of parameter inference method and device, can solve the problem of large amount of calculation of face image parameter inference, etc.

Active Publication Date: 2021-11-02
广州图普网络科技有限公司
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Problems solved by technology

[0006] In view of this, the embodiment of the present application provides a parameter inference method and device to improve the problem of large amount of calculation for parameter inference of face images in the prior art

Method used

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  • Parameter inference method and device
  • Parameter inference method and device

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Embodiment

[0040] See figure 2 , figure 2 A schematic flow chart of the parameter inference method provided by the embodiment of the present application is shown. It should be understood that, figure 2 The shown method can be performed by an electronic device, and the electronic device can be used with the following Figure 5 Corresponding to the electronic device shown, the electronic device may be various devices capable of executing the method, for example, it may be a personal computer, a server, or a network device, etc., and the embodiment of the present application is not limited thereto, and specifically includes the following steps:

[0041] Step S110, receiving multiple key points of human body parts.

[0042] Multiple key points of human body parts collected by the collection device can be received. The collection device is a device capable of collecting images of human body parts, which can be a camera or a video camera. It is also possible to receive multiple keypoints...

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Abstract

Embodiments of the present application provide a parameter inference method and device, which relate to the technical field of prediction or optimization. The parameter inference method includes: receiving multiple key points of human body parts, wherein the multiple key points are used to reflect the human body parts features; using the trained neural network point distribution model to process the multiple key points to obtain shape parameters and posture parameters corresponding to the human body parts. In the embodiment of the present application, the trained neural network point distribution model can be used to obtain the corresponding shape parameters and posture parameters of the human body parts according to multiple key points of the human body parts. longer question.

Description

technical field [0001] The present application relates to the technical field of prediction or optimization, and in particular, to a method and device for parameter inference. Background technique [0002] Point Distribution Model (PDM) is a classic parametric statistical model describing the shape of deformable objects in the field of computer vision. A typical application of PDM is to parametrically represent the shape of the face, so as to obtain the quantitative description of the geometric related information such as the scale, attitude angle, shape features, and expression of the face. The parametric representation of the shape of the face can be applied to various scenarios such as human attention detection, behavior analysis, and human-computer interaction. The shape of a face can be represented by a fixed number of coordinate points. Intuitively, PDM is to perform statistical analysis and process it into a parameter model after obtaining the representations of the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06N3/08
CPCG06N3/084G06V40/168G06V40/10G06V10/462
Inventor 王栋梁
Owner 广州图普网络科技有限公司
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