Living body detection method
A living body detection and living body technology, applied in the field of computer vision, can solve problems such as deception, achieve the effects of preventing deception, high accuracy, and improving security
Inactive Publication Date: 2020-10-13
北京视甄智能科技有限公司
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[0005] The purpose of the present invention is to provide a living body detection method, which aims to solve the technical problem of deceiving by forging human faces in the prior art
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[0045] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0046] Please also refer to Figure 1 to Figure 8 Now, a living body detection method provided by the present invention will be described. Described a kind of living body detection method, comprises the following steps:
[0047] S1, collecting RGB images and depth images containing face data;
[0048] Depth image: An image that represents the distance from the depth camera to each point in the scene as image pixel values.
[0049] The specific implementation of this step can be:
[0050] S1.1. Carry out camera calibration on the camera equipment, and obtain the...
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The invention provides a living body detection method, which belongs to the technical field of computer vision, and comprises the following steps of collecting an RGB image and a depth image containing face data, positioning the position of the target face from the RGB image, positioning the position of the target face from the depth image, extracting features in the RGB face image and the depth face image respectively, fusing the features, the fused features including texture information and structure information, predicting a input probability score S belonging to the living body according to the fused features, and judging whether a living body exists in the current detection target or not according to the input probability score S belonging to the living body. The living body detectionmethod provided by the invention is applied to distinguishing a real living body sample and a spoofing sample in face recognition, and the distinguishing result is high in accuracy and strong in robustness.
Description
technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a living body detection method, more specifically, a living body detection method based on fusion of RGB image features and depth image features. Background technique [0002] Face recognition is to complete the recognition process by capturing the face image and performing database comparison. Compared with information such as fingerprints and irises, face information is easier to obtain biological information, so it is widely used in face recognition systems that require high precision. As a biometric technology, face recognition technology continues to mature, and now it has been widely used in many fields such as security authentication and e-commerce, such as access control systems in life, sign-in and punch-in, and face payment. [0003] In the traditional face recognition algorithm, although the face feature recognition is very accurate, it can only ju...
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IPC IPC(8): G06K9/00G06K9/62G06T7/50G06T7/73G06N3/04G06N3/08
CPCG06T7/50G06T7/73G06N3/08G06T2207/10004G06T2207/10024G06T2207/20081G06T2207/20084G06T2207/20132G06T2207/30201G06V40/166G06V40/168G06V40/172G06V40/45G06N3/048G06N3/045G06F18/241
Inventor 安玉山
Owner 北京视甄智能科技有限公司