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Human face recognition method and system, human face recognition model training method and system

A face recognition and model technology, applied in the field of face recognition based on three-dimensional information, can solve the problems of long acquisition time, low possibility of practicality, and difficulty in data acquisition.

Active Publication Date: 2009-01-07
BEIJING VIMICRO ARTIFICIAL INTELLIGENCE CHIP TECH CO LTD
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Problems solved by technology

However, the face data of this type of method needs to be collected by replicating an expensive 3D laser scanner, the data collection is extremely difficult, and the collection time is long, so it is unlikely to be practical

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  • Human face recognition method and system, human face recognition model training method and system
  • Human face recognition method and system, human face recognition model training method and system
  • Human face recognition method and system, human face recognition model training method and system

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Embodiment Construction

[0100] In the embodiment of the present invention, in order to reduce the interference of light on face recognition, the depth image of the face is introduced on the basis of the original two-dimensional brightness image, so as to obtain the three-dimensional information of the face, because the depth information is not affected by the light , so face recognition based on 3D information can reduce light interference.

[0101] In addition, in order to reduce costs, a 3D information acquisition device different from a 3D laser scanner is introduced in the embodiment of the present invention. Such as figure 1 as shown, figure 1 It is a system block diagram of the three-dimensional information acquisition device in the embodiment of the present invention. The whole system is divided into three parts, including a projection device 10 , a depth reconstruction unit 11 and an image imaging unit 12 .

[0102] The first part is projection device 10, and projection device 10 comprises...

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Abstract

The invention discloses a face recognition method and system, in particular relates to a face recognition model training method and system. The face recognition method comprises the following steps: every user for recognition is trained and a face recognition model is obtained; within the set face posture range, the face image with structure light coding and the face image without structure light coding of the present user waiting for recognition are collected simultaneously; a face range image is obtained based on the face image with structure light coding, and a face gray image is obtained based on the face image without structure light coding; the face gray image is used for calibration, and face pre-treatment is conducted for the face gray image and the face range image based on the calibration results; the characteristics of pretreated face range image and face gray image are calculated respectively; the characteristics are input to the face recognition model to recognize faces and output face recognition results. The technical proposal provided by the invention can reduce the interference of light to face recognition and reduce costs simultaneously.

Description

technical field [0001] The present invention relates to a face recognition method and system, and a face recognition model training method and system, in particular to a face recognition method and system based on three-dimensional information, and a face recognition model training method and system. Background technique [0002] Face recognition is a technology that compares the input face image with the template in the known library and determines the identity. Since the face is an important way for people to distinguish different people, it is one of the most important sources of information. Face recognition is a more natural and direct recognition method than fingerprint, retina and iris recognition. It has great application potential in many fields such as video surveillance, sign-in system, human-computer interaction, and system startup. [0003] In the field of face recognition, there are mainly two types of methods, one is a face recognition method based on a two-di...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 黄英
Owner BEIJING VIMICRO ARTIFICIAL INTELLIGENCE CHIP TECH CO LTD
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