A robust video smiley face recognition method

A smile recognition and robust technology, applied in character and pattern recognition, acquisition/recognition of facial features, instruments, etc., can solve the problems of falling into local minima, initial shape and position sensitivity, etc., achieving good social benefits and wide application prospects Effect

Active Publication Date: 2019-03-15
WUHAN INSTITUTE OF TECHNOLOGY
View PDF6 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method is sensitive to the position of the

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
  • A robust video smiley face recognition method
  • A robust video smiley face recognition method
  • A robust video smiley face recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0047] Embodiment of the present invention video human face smile recognition method, such as figure 1 shown, including the following steps:

[0048] Describe the shape of the face, through the establishment of the shape model through the active appearance model, and complete the modeling of the appearance model of the face through the appearance model description. The shape model is to select some key points with the same semantics on the face, use the Procrustes analysis method for normalization, and use the principal component analysis to express any face shape as a linear combination of the av...

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 video smiley face recognition method with robust posture, which comprises the following steps: extracting an image frame in a video image, detecting a face in the image framethrough a face detection algorithm; The facial expression feature points are located by using the key points location algorithm for the located facial rectangular frame. Extracting the position information of the located facial expression feature points; Matching the extracted facial expression feature points with the template parameters of the online training smiling expression feature points; After the subsequent image frames are read, the smiling expression parameters are matched in a small range in the vicinity of the smiling state position. The smile recognition result of the current image frame is output as a continuous parameter variable. The invention can precisely track the changing process of expression details, and the method is robust to illumination, realizes real-time application under natural illumination, can be adapted to various face videos, and has wide application prospects in the fields of expression recognition, human-computer interaction, film and television special effects and the like.

Description

technical field [0001] The invention relates to the fields of human-computer interaction and video image pattern recognition, in particular to a video smiley face recognition method with robust posture. Background technique [0002] With the application of intelligent interactive terminal technology, in the scene of natural lighting and background, the recognition of smiling face expression on human face has become a research hotspot at present. Natural expression recognition based on computer vision has a wide range of applications in human-computer interaction, interactive film and television, and game entertainment. [0003] By collecting images of natural scenes in real time, and using pattern recognition methods to recognize smiling expressions on human faces in video images, using smiling expressions as control inputs can enhance the fun of intelligent interactive photography. [0004] With the development of computer interactive control technology, the application of...

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
CPCG06V40/166G06V40/168G06V40/174
Inventor 徐国庆
Owner WUHAN INSTITUTE OF TECHNOLOGY
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