A method and system for intelligent beauty based on convolutional neural network
A convolutional neural network and beauty technology, applied in the field of image processing, can solve the problem of inability to provide beauty parameters, and achieve the effect of avoiding parameter adjustment, avoiding stereotypes, and improving beauty effects.
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Embodiment 1
[0047] Such as figure 1 As shown, this embodiment proposes a method of intelligent beauty based on convolutional neural network, including:
[0048] S1. Detect the face key points of the image to be beautiful;
[0049]The core of performing beautification on the human face image is to perform beautification on each feature of the human face, therefore, for the input human face image, the present invention first detects the key points of the human face. Face key points include key features such as nose, mouth, eyes, etc. The present invention does not limit the specific face key point detection method, and any kind of face key point detection algorithm can be used, such as a priori rule-based method, a geometry-based Shape methods, methods based on grayscale information, etc., can also use third-party face SDK. For example, when using the face SDK of ArcSoft Technology, an array A of 101 face key points is detected. When performing face key point detection, the face needs to...
Embodiment 2
[0072] Such as figure 2 As shown, the present embodiment proposes a deep learning-based intelligent aesthetic system, including:
[0073] The detection module is used to detect the face key points of the image to be beautiful;
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