Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

rapid 3D face point cloud generation method and device based on a structured light module

A structured light and module technology, applied in the field of visual processing and artificial intelligence, can solve problems such as long time and large amount of calculation

Inactive Publication Date: 2019-04-05
NINGBO YINGXIN INFORMATION TECH
View PDF5 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the Apple iPhone X performs speckle decoding on the entire image, the amount of calculation is relatively large and the time is relatively long. How to quickly and accurately obtain the 3D face point cloud is the key to 3D face recognition.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • rapid 3D face point cloud generation method and device based on a structured light module
  • rapid 3D face point cloud generation method and device based on a structured light module
  • rapid 3D face point cloud generation method and device based on a structured light module

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Attached below figure 1 to attach Figure 7 The present invention is further described in detail.

[0024] In one example, see figure 1 , which discloses a fast 3D face point cloud generation method based on a structured light module, including:

[0025] S100: Use the RGB camera or infrared camera of the structured light module to identify and locate the image area where the face is located, and identify the face area in the RGB image or infrared image;

[0026] S200: Turn on the infrared code projector of the structured light module, collect the infrared code image by the infrared camera, map the face area to the infrared code image, and obtain a valid face code area;

[0027] S300: Decode the effective face encoding area to obtain depth information corresponding to the effective face encoding area;

[0028] S400: Transform the depth information of the effective face coding area into a 3D face point cloud through coordinates.

[0029] The human face area identifie...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a rapid 3D face point cloud generation method and device based on a structured light module, and the method comprises the steps: S100, recognizing and positioning an image region where a face is located through an RGB camera or an infrared camera of a structured light module, and marking a face region in the RGB image or the infrared image; S200, opening an infrared codingprojector of the structured light module, acquiring an infrared coding image by an infrared camera, and mapping the face region into the infrared coding image to obtain an effective face coding region; S300, decoding the effective face coding area to obtain depth information corresponding to the effective face coding area; And S400, converting the depth information of the effective face coding area into 3D face point cloud through coordinates. The method is favorable for greatly reducing the computing resources of the structured light module in the application processes of 3D selfie, face unlocking and 3D scanning reconstruction of the smart phone, and is favorable for real-time point cloud processing.

Description

technical field [0001] The disclosure belongs to the technical field of visual processing and artificial intelligence, and in particular relates to a method and device for generating a fast 3D face point cloud based on a structured light module. Background technique [0002] Natural and harmonious human-computer interaction is the ideal goal of human beings to control machines, so that machines can understand the commands transmitted by humans in a natural state. Using image processing technology to obtain depth information for real-time recognition of 3D images and motion capture makes it possible for people to interact with terminals in natural ways such as expressions, gestures, and somatosensory actions. Depth perception technology is the core technology of natural human-computer interaction, and has broad application prospects in the fields of machine vision, intelligent monitoring, 3D face recognition, 3D printing, etc. It has gradually expanded from game console perip...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/80
CPCG06T7/80G06T2207/10028G06T2207/30201G06V40/161G06V40/172
Inventor 刘立恒葛晨阳刘欣谢艳梅
Owner NINGBO YINGXIN INFORMATION TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products