Fuzzy Face Discrimination Method Based on High Frequency Analysis of Local Neighborhood of Key Points
A technology of local neighborhood and discrimination method, applied in character and pattern recognition, computer parts, instruments, etc., can solve problems such as rare and fuzzy discrimination
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[0031] Face images are a special kind of images, which are different from general images in terms of overall topology and details, and have certain unique characteristics. Therefore, the fuzzy discrimination of this type of image should not be limited to the traditional general method (especially in terms of the judgment features adopted), but should focus on the excavation and utilization of the exclusive features of face images. At the same time, due to the high degree of specialization and customization of features on this issue, it is more advantageous to use a classifier constructed through targeted training and learning to complete the work of distinguishing fuzzy faces. distinguishing mechanism. Below will carry out more specific introduction and description to the implementation method of the present invention:
[0032] Method training phase:
[0033] The key point automatic positioning model construction in the present invention and the learning module of the fuzzy ...
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