Improved CNN-based facial expression recognition method
A facial expression recognition and facial expression technology, applied in the field of facial expression recognition, can solve the problem of small number of originals, and achieve the effect of reducing model parameters, increasing width, and reducing network parameters
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[0036] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.
[0037] The technical scheme that the present invention solves the problems of the technologies described above is:
[0038] like Figure 7 As shown, the present invention provides a kind of facial expression recognition method based on improved CNN, it is characterized in that, comprises the following steps:
[0039] S1: Use a face detection and alignment algorithm JDA algorithm that integrates face detection and alignment functions to obtain facial expression images from video streams;
[0040] S2: Correct the facial posture in the real environment, remove the background information irrelevant to the expression information, and adopt scale normalization. In this embodiment, the specific method is:
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