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Parameter inference method and device

A parameter and inference technology, which is applied in the field of parameter inference methods and devices, can solve the problem of large amount of calculation for face image parameter inference, and achieve the effect of improving the large amount of calculation

Active Publication Date: 2019-10-18
广州图普网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

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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

The embodiment of the invention provides a parameter inference method and device, and relates to the technical field of prediction or optimization, and the parameter inference method comprises the steps: receiving a plurality of key points of a human body part, wherein the plurality of key points are used for reflecting the features of the human body part; and processing the plurality of key points by using a trained neural network point distribution model to obtain shape parameters and posture parameters corresponding to the human body part. According to the embodiment of the invention, the trained neural network point distribution model is utilized to obtain the shape parameter and the attitude parameter corresponding to the human body part according to the plurality of key points of thehuman body part, and compared with the prior art, the problems of large calculation amount and long PDM model establishment time can be improved.

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 Applications(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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