Silent human face living body detection model and method
A face detection and living body detection technology, applied in the fields of computer vision and image processing, can solve the problems of false detection, missed detection, poor practicability, etc., and achieve the effects of good user experience, high traffic efficiency and cost saving.
Pending Publication Date: 2021-12-03
HUAZHONG UNIV OF SCI & TECH
View PDF0 Cites 1 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] Generally, the silent face detection method using RGB images is only based on a certain local detail feature, such as texture, optical flow, 3D information or traditional manual features, etc., which is very easy to overfit a certain scene, resulting in false detection and omission. inspection, less practical
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0028] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the Some, but not all, embodiments are invented. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0029] The embodiment of the present invention provides a silent face detection model based on a deep convolutional neural network and RGB single-frame images. The model does not rely on a depth camera or a binocular camera, and only uses RGB images. Product neural network structure and unique functional operators, and introduce spatial attention and channel attention m...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The embodiment of the invention provides a silent human face living body detection model and method. The model comprises a human face detection module, a skeleton network module and a central difference volume integral class branch; the human face detection module is used for acquiring a human face detection frame based on an input picture and inputting the human face detection frame to the skeleton network module; the skeleton network module is used for extracting convolution features, and the convolution features are connected with the central difference convolution point class branches; and the central difference volume point class branch is used for judging whether the human face of the input picture is a living body or not. According to the embodiment of the invention, the method is only based on RGB single-frame image data, is real-time silent human face living body detection, does not need the cooperation of video data and a user, and greatly saves the cost compared with a human face living body detection scheme based on an infrared camera, a 3D structured light camera and a multi-view camera. Compared with a matched face living body detection scheme, the passing efficiency is higher, and the user experience is better.
Description
technical field [0001] The invention relates to the fields of computer vision and image processing, and more specifically, to a silent human face detection model and method. Background technique [0002] With the increasing accumulation of video surveillance data, the continuous development of hardware platforms and the rapid breakthrough of computing vision related technologies, the face recognition algorithm based on deep learning has shown its power in the fields of urban security and smart communities, and continues to exert its strength. However, with the popularization of multimedia devices and the Internet, high-quality face images and videos are becoming easier to obtain, making traditional face recognition algorithms face serious face fraud attacks, such as photos, masks, occlusions, and screen remakes. etc. Therefore, it is extremely important to distinguish whether the user is alive or not in face recognition. [0003] In view of the low efficiency and low user-f...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/048G06N3/045G06F18/241
Inventor 李开邹复好甘早斌肖伟向文卢萍
Owner HUAZHONG UNIV OF SCI & TECH