Method, device, electronic equipment and medium for establishing passers-by library
A method of establishment, passer-by technology, applied in the field of big data
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Embodiment 1
[0075] figure 1 This is a schematic diagram of the process of establishing a passerby library provided by an embodiment of the present invention, and the specific processing process is as follows:
[0076] S101: Extract the target feature of the collected face image.
[0077] In the embodiment of the present invention, the method for establishing a passerby library is applied to an electronic device, which may be a PC, a tablet computer, a smart phone, a personal digital assistant (PDA), an image acquisition device, an image processing device, etc.
[0078] When the electronic device acquires the face image collected by the image acquisition device, the target feature of the face image is extracted. Specifically, for the collected face image, the algorithm existing in the prior art can be used to extract the feature points of the face image, and the target feature of the face image can be obtained according to the extracted feature points. The target feature can be It is the charact...
Embodiment 2
[0096] In order to improve the accuracy of face recognition, on the basis of the foregoing embodiment, in the embodiment of the present invention:
[0097] If the maximum value of the second similarity is greater than the preset second threshold, the method further includes:
[0098] Identify the target second image corresponding to the maximum value of the second similarity, and store the face image in the image group of the second identification information where the target second image is located.
[0099] In the embodiment of the present invention, when the person corresponding to the collected face image does not belong to the deployment control library and the whitelist library, the target feature of the face image and the second feature of each second image in the passerby library are determined respectively. The second similarity, when the maximum value of the second similarity is greater than the preset second threshold, it is determined that the person corresponding to the ...
Embodiment 3
[0103] On the basis of the foregoing embodiment, in the embodiment of the present invention:
[0104] After extracting the target feature of the collected face image, the method further includes:
[0105] Determining the target feature value of the face image according to the target feature;
[0106] The separately determining the first similarity between the target feature and the first feature of each first image stored in the deployment control library and the whitelist library includes:
[0107] Respectively determining the first similarity between the target feature value and the first feature value of each first image stored in the deployment control library and the whitelist library;
[0108] The determining the second similarity between the target feature and the second feature of each second image in the preset passerby library includes:
[0109] The second similarity between the target feature value and the second feature value of each second image in the preset passerby librar...
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