Intelligent television face recognition method based on binocular camera

Abstract

The invention discloses an intelligent television face recognition method based on a binocular camera. A binocular camera is equipped, and the binocular camera is provided with two cameras. The method comprises the following steps: step 1, the two cameras obtain images simultaneously and carry out the face detection and eye detection on the two images respectively; step 2, the image preprocessing is carried out on the two face images obtained in the step 1, a diversity factor value X of the two images is obtained by adopting distance calculation, and the diversity factor value X is compared with a preset threshold value T; and step 3, if the diversity factor value X in the step 2 is larger than the preset threshold value T, the current two face images have the authenticity, and any one of the face images is taken for carrying out the feature extraction and feature classification on the face images, then the recognition is accomplished, if the diversity factor value X in the step 2 is smaller than the preset threshold value T, the current two face images are judged as being similar, then the images are judged as cheat, and alarming information is displayed on a user interface, and the recognition is ended.

Description

technical field [0001] The invention relates to the field of face feature recognition, and the feature relates to a smart TV face recognition method based on a binocular camera. Background technique [0002] At present, face recognition technology is widely used in TVs and various electronic display products. Due to its convenient and unique biometric performance, it has an indispensable place in the application of future TV functions. In particular, as a household appliance such as a TV, the family members it faces have some differences in the application environment of ordinary face recognition, that is, it is very easy for family members to obtain mutual personal information, such as photos of faces. , so that face recognition can be deceived through effective photos, making the application of face recognition on these products flawed. [0003] The application of existing face recognition technology on TV and various electronic display products is easy to be deceived by...

AI Technical Summary

Problems solved by technology

In particular, as a household appliance such as a TV, the family members it faces have some differences in the application environment of ordinary face recognition, that is, it is very easy for family members to obtain mutual personal information, such as photos of faces. , so that face recognition can be deceived through effective photos, making the application of face recognition on these products flawed

[0003] The application of existing face recognition technology on TV and various electronic display products is easy to be deceived by photos, which makes the recognition function ineffective; using infrared, multiple biometric identification combinations, etc. to avoid photo deception is similar When there is a problem, it has a high cost, which is not conducive to the promotion of face recognition technology; because the method of using infrared, a variety of biometric identification combinations, etc. to avoid similar problems in photo fraud requires unique infrared support or corresponding feature acquisition equipment , and these devices tend to have fewer other applications, and the compatibility is not strong

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