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Face recognition module and method

A technology of face recognition and facial features, applied in the field of face recognition, to achieve the effect of increasing the success rate

Pending Publication Date: 2020-03-20
KNERON TAIWAN CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Near-infrared flash emits near-infrared light
The main near-infrared camera acquires near-infrared images
AI NIR image model processes NIR images to generate NIR features
AI raw image model processes 2D second camera images to generate facial features or color features

Method used

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  • Face recognition module and method
  • Face recognition module and method
  • Face recognition module and method

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Embodiment Construction

[0024] figure 1 An embodiment of the face recognition module 100 is shown. The face recognition module 100 includes a near infrared (NIR) flash 102, a main near infrared camera 104, a second camera 106, an artificial intelligence (AI) near infrared image model 108, an artificial intelligence original image model 110, and artificial intelligence fusion Model 112. The near-infrared flash 102 is used to emit near-infrared light. The main near-infrared camera 104 is used to obtain near-infrared images. The artificial intelligence near infrared image model 108, artificial intelligence original image model 110, and artificial intelligence fusion model 112 are in the central processing unit (CPU) and / or graphics processing unit (GPU) of the face recognition module 100 Executed on. The artificial intelligence near infrared image model 108 is used to process near infrared images to generate near infrared features. The second camera 106 acquires a two-dimensional second camera image....

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Abstract

The invention provides face recognition module and method. The face recognition module includes a near infrared flash, a master near infrared camera, an artificial intelligence NIR image model, an artificial intelligence original image model, and an artificial intelligence fusion model. The NIR flash flashes near infrared light. The master near infrared camera captures a NIR image. The artificialintelligence NIR image model processes the NIR image to generate NIR features. The artificial intelligence original image model processes a 2 dimensional second camera image to generate face featuresor color features. The artificial intelligence fusion model generates 3 dimensional face features, a depth map and an object's 3 dimensional model according to the NIR features, the face features andthe color features. In the invention, successful rate and optimum extracted features of face recognition are improved, so that the module and method can be used for artificial intelligence face detection, artificial intelligence facial feature generation, artificial intelligence landmark generation, artificial intelligence live detection artificial intelligence depth map generation, etc.

Description

Technical field [0001] The present invention relates to face recognition, in particular to a module and method for performing face recognition based on an artificial intelligence model. Background technique [0002] Today's digital cameras can obtain high-resolution two-dimensional color images. Although the known two-dimensional recognition technology can analyze red, green, and blue (RGB) colors to track facial features, the success rate is still susceptible to the impact of the camera's shooting angle and the brightness of the ambient light source. Compared with two-dimensional recognition, three-dimensional (3D) recognition can obtain depth information and is not affected by the brightness of the ambient light source. [0003] Three-dimensional recognition uses three-dimensional sensors to obtain depth information. The most popular 3D recognition technologies are time of flight cameras and structured light. The time-of-flight ranging camera uses the time-of-flight ranging to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06V10/143
CPCG06V20/64G06V40/172G06V40/166G06V40/168G06V40/45G06N3/08G06V10/143G06V10/803G06N3/045G06F18/251G06N3/02G01N21/359G06V40/171
Inventor 李湘村谢必克苏俊杰
Owner KNERON TAIWAN CO LTD
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