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Face recognition beauty based on deep learning
Face recognition beauty based on deep learning
Portrait beauty is one of the retouching functions that has been popular among the broad girls in recent years. At present, there are some beautiful makeup cameras, beautiful makeup, daily P-pictures, etc., and some PC-specific The show map software, this article will give you an initial knowledge of the algorithm;
What is a portrait beauty? A simple look at a sample picture:
In this picture, from the original image on the left to the rendering effect on the right, it is called portrait beauty.
Some of my own insights into AI beauty are as follows:
1. Makeup is natural and lifelike;
2. High robustness, not affected by facial occlusion;
3. The faster the speed, the better;
4. Completely intelligent, able to match the best makeup for different portrait photos;
The current flaws in traditional beauty:
advantage:
1. The makeup is rich and can be used with the user's own choice;
Both the beauty camera and the beauty make-up app provide dozens of different makeup effects for users to choose;
2. The makeup is fast and can be disposed in real time;
Play beautiful makeup, beauty camera, daily P picture, no other camera and other apps have supported real-time makeup effects;
defect:
1. The makeup is not highly robust, and is greatly affected by light and facial features.
2. The fidelity is not high;
3. Can not be fully intelligent;
At present, the beauty-based APP based on the traditional algorithm cannot reach the above three points;
Traditional portrait beauty algorithm flow:
1. Makeup template manufacturing (Photoshop and other editing software manufacturing, completed by design)
2. Face detection, feature point identification;
What is a portrait beauty? A simple look at a sample picture:
In this picture, from the original image on the left to the rendering effect on the right, it is called portrait beauty.
Some of my own insights into AI beauty are as follows:
1. Makeup is natural and lifelike;
2. High robustness, not affected by facial occlusion;
3. The faster the speed, the better;
4. Completely intelligent, able to match the best makeup for different portrait photos;
The current flaws in traditional beauty:
advantage:
1. The makeup is rich and can be used with the user's own choice;
Both the beauty camera and the beauty make-up app provide dozens of different makeup effects for users to choose;
2. The makeup is fast and can be disposed in real time;
Play beautiful makeup, beauty camera, daily P picture, no other camera and other apps have supported real-time makeup effects;
defect:
1. The makeup is not highly robust, and is greatly affected by light and facial features.
2. The fidelity is not high;
3. Can not be fully intelligent;
At present, the beauty-based APP based on the traditional algorithm cannot reach the above three points;
Traditional portrait beauty algorithm flow:
1. Makeup template manufacturing (Photoshop and other editing software manufacturing, completed by design)
2. Face detection, feature point identification;
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