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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
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AI Technical Summary

Problems solved by technology

However, this method is sensitive to the position of the initial shape, and it is easy to fall into a local minimum

Method used

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

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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...

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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

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/166G06V40/168G06V40/174
Inventor 徐国庆
Owner WUHAN INSTITUTE OF TECHNOLOGY
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