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A complex environment face recognition method and system

A complex environment, face recognition technology, applied in the field of face recognition, can solve the problems of little design of impurity willful features, unfavorable eigenvalue special area calculation, etc., to achieve the effect of improving the recognition ability

Active Publication Date: 2021-12-07
广东诚智鑫科技有限公司
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Problems solved by technology

[0002] The general complex environment face recognition technology pays more attention to algorithmically removing the environmental interference factors contained in the image data in the data set, and more of its de-interference work is mostly embedded in the calculation process of the algorithm. There are very few impurity arbitrary feature designs, and it is not conducive to the special operation of the feature value

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  • A complex environment face recognition method and system
  • A complex environment face recognition method and system
  • A complex environment face recognition method and system

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Embodiment Construction

[0031] The concept, specific structure and technical effects of the present disclosure will be clearly and completely described below in conjunction with the embodiments and drawings, so as to fully understand the purpose, scheme and effect of the present disclosure. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0032] Such as figure 1 Shown is a flow chart of a complex environment face recognition method and system according to the present disclosure, combined below figure 1 A complex environment face recognition method and system according to an embodiment of the present disclosure will be described.

[0033] The present disclosure proposes a complex environment face recognition method and system, specifically including the following steps:

[0034] Step 1, uploading the collected video data to the back-end server through the network;

[0035] Step 2, d...

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Abstract

The present disclosure provides a method and system for face recognition in a complex environment. The interference features are calculated from the environment frames, and the conversion features are obtained from the conversion calculations of the portrait frames. The time proximity of the target portrait frame in the frame sequence is obtained through the marking sequence. environment frame, using the interference features of the time-closed environment frames, the conversion features obtained by converting the target portrait frame to remove the environmental interference in complex environments, produce purified features, and improve the recognition of face recognition systems in complex environments ability.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face recognition method and system in a complex environment. Background technique [0002] The general complex environment face recognition technology pays more attention to algorithmically removing the environmental interference factors contained in the image data in the data set, and more of its de-interference work is mostly embedded in the calculation process of the algorithm. There are very few impurity arbitrary feature designs, and it is not conducive to the special operation of feature values. At present, in the field of portrait feature extraction in complex environments, there is an urgent need for a purification method that can remove interference items in video feature extraction, so as to eliminate interference factors in face recognition input. Contents of the invention [0003] The present disclosure provides a method and system for face recognition i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
Inventor 杜达康陆洪超范锦才覃义邱
Owner 广东诚智鑫科技有限公司