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

Face alignment method and camera

A technology of face alignment and camera, which is applied in the field of face alignment methods and cameras, can solve the problems of poor robustness of detection results, etc., and achieve the effect of improving positioning accuracy and speed, and robust face alignment scheme

Active Publication Date: 2019-07-23
QINGDAO PICO TECH CO LTD
View PDF9 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a face alignment method and a camera to solve the problem of poor robustness of the detection results in the face detection of face images whose key points of the face are blocked by the side faces at different angles

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
  • Face alignment method and camera
  • Face alignment method and camera
  • Face alignment method and camera

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0020] Hereinafter, embodiments of the present invention will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0021] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the invention. The words "a", "an" and "the" used herein shall also include the meanings of "plurality" and "multiple", unless the context clearly indicates otherwise. In addition, the...

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 discloses a face alignment method and a camera. The method comprises the following steps: constructing a multi-pose face model, wherein each pose face model in the multi-pose face modelis associated with a different face angle range; collecting a face image of a user; detecting face key points in the face image by using a preset face detection algorithm, obtaining face key points ofa user, and obtaining a face angle of the user according to the face key points; according to the face angle range associated with each posture face model, obtaining a posture face model corresponding to the face angle of the user; and performing regression processing on the face key points of the user according to the posture face model corresponding to the face angle of the user to obtain facefeature points of the user, and realizing face alignment detection of the user by utilizing the face feature points. According to the technical scheme of the invention, the positioning precision and positioning speed of face alignment can be improved, and a more robust face alignment scheme is realized.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a face alignment method and a camera. Background technique [0002] Face alignment technology has been developed for many years. At the beginning, models such as Active Shape Model (ASM) and Active Appearance Model (AAM) were used for face alignment. Due to their low rate and low robustness, Methods such as cascade regression, deep learning, constrained local models, and supervised gradient descent have been gradually applied to the field of face alignment, which has greatly improved the robustness of face alignment. [0003] However, the above methods or models are generally aimed at unobstructed face images facing the camera to obtain relatively robust face alignment detection results. However, the face images to be detected are not always facing the camera. In a large number of cases, there will be Due to the side faces at different angles, some key points of the fac...

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
IPC IPC(8): G06K9/00
CPCG06V40/166G06V40/172G06V40/168
Inventor 刘子伟吴涛
Owner QINGDAO PICO TECH CO LTD
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com