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Image processing method and device, image equipment and storage medium

An image processing and image acquisition technology, applied in the information field, can solve information security issues, affect video effects and other issues

Pending Publication Date: 2020-07-28
BEIJING SENSETIME TECH DEV CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When conducting online lectures or webcasting, the user's face or body is completely exposed on the network, which may involve user privacy issues on the one hand, and information security issues on the other.
In order to solve this privacy or security problem, the face image may be covered by mosaics, etc., but this will affect the video effect

Method used

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  • Image processing method and device, image equipment and storage medium
  • Image processing method and device, image equipment and storage medium
  • Image processing method and device, image equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0391] This example provides an image processing method, including:

[0392] Acquire images, the images include objects, including but not limited to human bodies;

[0393] Detect the key points of the face of the human body; the key points of the face can be the key points of the contour of the human face surface;

[0394] Detect the torso key points and / or limb key points of the human body, where the torso key points and / or limb key points can be 3D key points, represented by 3D coordinates; the 3D can include 2D detected from 2D images coordinates, and then use the 2D coordinates to 3D coordinates conversion algorithm to obtain 2D coordinates; the 3D coordinates can also be 3D coordinates extracted from 3D images collected by a 3D camera. The body key points here may include: upper body key points and / or lower body key points; for example, taking the hand as an example, the hand key points of the upper body key points include but are not limited to, Joint key points, knuc...

example 2

[0406] This example provides an image processing method, including:

[0407] Acquire images, the images include objects, including but not limited to human bodies;

[0408]Detect the key points of the trunk and limbs of the human body, where the key points of the trunk and / or limbs can be 3D key points, which are represented by 3D coordinates; the 3D can include 2D coordinates detected from 2D images, Then use the 2D coordinates to 3D coordinates conversion algorithm to obtain the 2D coordinates; the 3D coordinates can also be 3D coordinates extracted from the 3D images collected by the 3D camera. The body key points here may include: upper body key points and / or lower body key points; for example, taking the hand as an example, the hand key points of the upper body key points include but are not limited to, Joint keys, knuckle keys, fingertip keys; the positions of these key points reflect the movement of the hand and fingers

[0409] Convert the key points of the torso int...

example 3

[0418] This example provides an image processing method that includes:

[0419] Acquire an image, the image contains a target, and the target can be a human body;

[0420] According to the image, the 3D pose of the target in the three-dimensional space is obtained, and the 3D pose can be represented by the 3D coordinates of the skeleton key points of the human body;

[0421] Obtain the absolute rotation parameters of the joints of the human body in the camera coordinate system, and the absolute rotation position can be determined by the coordinates in the camera coordinate system;

[0422] According to the coordinates, the coordinate direction of the joint is obtained;

[0423] According to the hierarchical relationship, determine the relative rotation parameters of the joints, and determining the relative parameters may specifically include: determining the position of the key points of the joints relative to the root node of the human body; the relative rotation parameters ...

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PUM

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Abstract

The embodiment of the invention discloses an image processing method and device, image equipment and a storage medium. The image processing method comprises: acquiring an image; acquiring at least twolocal features of a target based on the image; according to the characteristics of the at least two parts and a first motion constraint condition of a connecting part, determining motion informationof the connecting part of the at least two parts, the connecting part being used for connecting the at least two parts; and according to the motion information of the connecting part, controlling themotion of the connecting part of a controlled model to determine the motion information of the connecting part of the at least two local parts according to the characteristics of the at least two local parts and the first motion constraint condition of the connecting part, wherein the connecting part is used for connecting the at least two local parts.

Description

[0001] This application claims the priority of the Chinese application with the application number 201910049830.6 and the filing date of January 18, 2019. technical field [0002] The present invention relates to the field of information technology, in particular to an image processing method and device, image equipment and a storage medium. Background technique [0003] With the development of information technology, users can conduct online lectures, web anchors, and somatosensory games through video recording. But in some cases, for example, somatosensory games require users to wear special somatosensory devices to detect their own limbs and other activities in order to control game characters. When conducting online lectures or webcasting, the user's face or body is completely exposed on the network, which may involve user privacy issues on the one hand, and information security issues on the other. In order to solve this privacy or security problem, the face image may ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06T7/00G06T7/20G06V10/24
CPCG06T7/0002G06T7/20G06T7/73G06T2207/30196G06T2207/20084G06V40/10G06V10/24G06V10/754G06V40/20G06V20/64G06V10/469G06F18/00G06T7/74G06T11/60G06T7/246G06T13/40G06T2200/04G06T2207/30201G06T7/0014G06V40/176
Inventor 谢符宝刘文韬
Owner BEIJING SENSETIME TECH DEV CO LTD
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