Device for comparing a plurality of photos of the same user
A photo and face feature technology, applied in the field of photo comparison devices, can solve the problems of inaccurate comparison results, etc., and achieve the effects of overcoming one-sidedness, ease of use, and improving the comparison rate
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Embodiment 1
[0020] Such as figure 1 In the photo comparison device for multiple photos of one person shown, the photo reading module 1 is connected to the intermediate module 2, and the photo reading module 1 reads multiple photos of the person to be identified, and may include a scanner to scan the photos if necessary . The read photo data is transmitted to the middle module 2 to extract facial features and build a template.
[0021] The photo comparison device has a built-in photo module 3, in which there is a face database, which stores many face photos, and the photo module 3 extracts facial features from these face photos, and constructs templates respectively.
[0022] The data of the intermediate module 2 and the photo module 3 are all transmitted to the recognition module 4 for comparison and recognition, and then the result module 5 sorts and takes out candidate results for display on the display module 6 .
[0023] The comparison of the identification module 4 can adopt the me...
Embodiment 2
[0030] Such as figure 1 As shown in the device for comparing photos of one person with multiple photos, the comparison of the identification module 4 can adopt the method of seeking the maximum value of similarity, including a maximum similarity calculation unit.
[0031] All the other parts are the same as in Example 1
[0032] The working process of the device is as follows:
[0033] 1) The photo module contains existing M face photos, extract face features from these photos, and construct templates, each template in this module is marked as B i (0≤i≤M).
[0034] 2) The middle module extracts face features from N photos of the same person to be identified, and each feature template is marked as A j (0
[0035] 3) The recognition module compares the template in the middle module with the template in the photo module, and finds the maximum similarity with each template in the photo module, namely: S i =MAX(F(A j , B i )), where F is the comparison function of the t...
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