Multi-angle video based face recognition device and method
A face recognition, multi-angle technology, applied in the direction of character and pattern recognition, instruments, computer parts, etc., can solve the problems of accuracy rate impact and achieve the effect of improving robustness and recognition rate
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Embodiment 1
[0038] Refer to attached figure 1, the face recognition device based on multi-angle video in the present embodiment, it comprises a face recognition processing control unit, a recognition channel (not shown in the accompanying drawings), installed on the recognition channel and connected with the face recognition processing control unit At least three cameras connected by signals, at least three cameras including the first camera 1 arranged directly above the recognition channel and used to collect the user's front face features, and the first camera 1 arranged on the left side of the recognition channel and used to collect the user's left face features At least one second camera 2, at least one third camera 3 arranged on the right side of the recognition channel and used to collect the features of the user's right face.
[0039] In a more preferred embodiment, a supplementary light (not shown in the drawings) for providing fixed illumination for the camera is installed on the...
Embodiment 2
[0054] Refer to attached Figure 4 The difference between this embodiment and Embodiment 1 is that in step b5 of the face recognition method using a multi-angle video-based face recognition device, the recognition strategy is: the candidate sets whose similarity is greater than the preset threshold The candidate objects are merged into a new candidate set, and the number of the same candidate objects in the new candidate set is accumulated. If the proportion of the number of the same candidate objects to all candidate objects is greater than the preset threshold, then The candidate object corresponding to the current threshold is taken as the final recognition result; otherwise, the user is judged as a stranger, that is, it does not belong to a registered user.
Embodiment 3
[0056] Refer to attached Figure 5 , the difference between this embodiment and Embodiment 1 is that in step b5 of the face recognition method using a multi-angle video-based face recognition device, the recognition strategy is: first select the candidate with the largest similarity in each candidate set Objects, and then form them into a new candidate set, and count the number of the same candidate object in the new candidate set, if the maximum value of the obtained value is greater than or equal to 3, then the candidate object corresponding to the value is used as the final Recognition result; if the maximum value obtained is less than 3 and greater than or equal to 2, and the second maximum value is not 2, the candidate object corresponding to the value 2 will be used as the final recognition result; if the maximum value obtained is is less than 3 and greater than or equal to 2, and the second largest value is also 2, then compare the sum of their similarities, and take th...
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