Face shielding detection method and device, equipment and storage medium
A face occlusion and detection method technology, applied in the field of computer vision, can solve problems such as face recognition algorithm errors, failures, and loss of feature information, and achieve the effect of optimizing user experience
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Embodiment 1
[0048] figure 1A flow chart of a face occlusion detection method provided in Embodiment 1 of the present application is given. The face occlusion detection method provided in this embodiment can be executed by a face occlusion detection device, and the face occlusion detection device can use software and / or hardware, the face occlusion detection device may be composed of two or more physical entities, or may be composed of one physical entity. Generally speaking, the face occlusion detection device may be a data processing device such as a face recognition terminal device, a computer, or a face recognition server.
[0049] The following description will be made by taking the face occlusion detection device as an example for implementing the face occlusion detection method. refer to figure 1 , the face occlusion detection method specifically includes:
[0050] S110. Extract the camera video stream, extract video images from the video stream, perform face detection based on t...
Embodiment 2
[0076] On the basis of the above examples, Figure 5 It is a schematic structural diagram of a face occlusion detection device provided in Embodiment 2 of the present application. refer to Figure 5 , the face occlusion detection device provided in this embodiment specifically includes: an extraction module 21 , a division module 22 and a detection module 23 .
[0077] Wherein, extraction module 21 is used for extracting camera video stream, extracts video image from described video stream, and carries out human face detection based on described video image, determines corresponding human face image;
[0078] The division module 22 is used to detect the key points of the face on the face image, determine the key point information of the face, and divide the face image according to the key point information of the face to obtain a plurality of corresponding human faces. face region image;
[0079] The detection module 23 is used to input the human face area image into the pr...
Embodiment 3
[0087] Embodiment 3 of the present application provides an electronic device, referring to Figure 6 , the electronic device includes: a processor 31 , a memory 32 , a communication module 33 , an input device 34 and an output device 35 . The number of processors in the electronic device may be one or more, and the number of memories in the electronic device may be one or more. The processor, memory, communication module, input device and output device of the electronic device can be connected through a bus or in other ways.
[0088] Memory 32, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as program instructions / modules corresponding to the face occlusion detection method described in any embodiment of the present application (for example, face occlusion Extraction module, segmentation module and detection module in the detection device). The memory may mainly include a program storage area and ...
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