Face identification method applied to adaptive drive seat

A face recognition and self-adaptive technology, applied in the field of face recognition, can solve problems such as photo deception, large environmental impact, and insufficient recognition rate, and achieve the effects of convenient calculation, reduced impact, and improved efficiency

Active Publication Date: 2017-06-09
南方电网互联网服务有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the application of face recognition technology is becoming more and more common, but the face recognition technology in the existing technology still has technical defects, such as being greatly affected by the environment, easily deceived by photos, and not suitable for the natural changes of the face, resulting in insufficient recognition rate. advanced questions

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  • Face identification method applied to adaptive drive seat
  • Face identification method applied to adaptive drive seat

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Embodiment

[0025] see figure 1 , the present invention is applied to the self-adaptive driving seat, and structurally includes a video acquisition module 101, a face recognition module 102, a host computer control module 103 and an input library function module 104 connected in sequence, wherein the video acquisition module adopts a camera; as figure 2 As shown, the face recognition process specifically includes the following steps:

[0026] S1: Load the face identity feature avatar library;

[0027] S2: Create a face recognition model and train the loaded face recognition library;

[0028] Commands can be issued through IO devices or Bluetooth, WIFI, etc., to record the captured faces into the face recognition library, and add an identity tag number. In addition, the position and posture of the seat at this time can also be memorized, and the position and posture can be packaged into the face recognition library.

[0029] S3: acquire video images in the camera;

[0030] This step n...

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Abstract

The invention provides a face identification method applied to an adaptive drive seat; the method comprises the following steps: loading a face identity characteristic head portrait database; building a face identification model, and training a loaded face identification database; obtaining a video image from a camera; using a cascade classifier to detect whether the video image contains face characteristic information or not; if yes, extracting the face portion, and forming a face image; carrying out dimension normalization for the extracted characteristic head portrait, and carrying out histogram equalization treatment; using two dimension discrete rapid Fourier transform to convert the face image from a space domain to a frequency domain, and extracting characteristics; comparing the extracted characteristics in the face identification database, if the similarity is higher than a preset threshold, a predicted ID label is outputted so as to confirm the passenger ID, thus starting the adaptive drive seat; asking to input the face identity if the similarity is smaller than the preset threshold. The face identification method is applied to an unmanned vehicle auxiliary driving system, and matched with the adaptive drive seat, thus fast and accurately carrying out face identification with high efficiency.

Description

technical field [0001] The invention relates to the field of face recognition and the field of vehicle auxiliary driving systems, in particular to a face recognition method applied to an adaptive driving seat. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. Use a camera or camera to collect images or video streams containing faces, and automatically detect and track faces in the images, and then perform a series of related image processing technologies on the detected faces, usually also called portrait recognition, face recognition, etc. identify. At present, the application of face recognition technology is becoming more and more common, but the face recognition technology in the existing technology still has technical defects, such as being greatly affected by the environment, easily deceived by photos, and not suitable for the natural changes of the face, resulting in insufficient rec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/168G06V40/172G06V20/593G06V10/50G06F18/22
Inventor 黄文恺朱静詹欣国陈文达何俊峰江吉昌韩晓英吴羽伍冯洁
Owner 南方电网互联网服务有限公司
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