Face feature point positioning method and device

A technology of face features and positioning methods, applied in the computer field, can solve problems such as reduced computational efficiency and increased number of iterations

Active Publication Date: 2014-09-10
XIAOMI INC
View PDF4 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the problems that the number of iterations increases and the calculation efficiency decreases when the initial positioning poi

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 feature point positioning method and device
  • Face feature point positioning method and device
  • Face feature point positioning method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of devices and methods consistent with aspects of the invention as recited in the appended claims.

[0061] In order to facilitate the understanding of the technical solutions provided by the present disclosure, firstly, human face feature points are introduced. Facial feature points include eyebrows, eyes, nose, mouth, and key pixel points on the image of the outline of the human face. These key pixels can determine the position of facial features. For example, there are 6 key pixels of the eye,...

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 face feature point positioning method and device, and belongs to a computer field. The method comprises the following steps: detecting a face image in a current frame of image in a video sequence; according to the final positioning positions of the face feature points of the previous frame of image, determining the initial positioning positions of the face feature points of the current frame of image in the detected face image; and according to the image feature value of the face image on the initial positioning positions, positioning the face feature points of the current frame of image so as to obtain the final positioning positions of the face feature points of the current frame of image. The device comprises a detection module, a determining module and a positioning module. According to the invention, the obtained initial positioning positions of the face feature points of the current frame of image can be near the practical positions of the face feature points of the current frame of image according to the final positioning positions of the face feature points of the previous frame of image so as to reduce iterations in a positioning computation process and improve feature point positioning efficiency.

Description

technical field [0001] The present disclosure relates to the field of computers, and in particular to a method and device for locating facial feature points. Background technique [0002] The positioning technology of facial feature points refers to the detection of human faces based on face detection technology, and the recognition of the detected faces to determine the position and shape information of key facial feature points such as eyes, nose and mouth. The location technology of facial feature points can provide corresponding basic data for research work such as face recognition, facial posture and expression analysis, face beautification, and face tracking, so it plays an important role. [0003] The principle of the positioning technology of related face feature points includes, firstly, face detection is performed on the image; secondly, in the detected face image, the average position of the face feature points in the preset training set is used as the face featur...

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): G06K9/00G06K9/62
Inventor 王琳王百超陈志军
Owner XIAOMI INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap