A photographic method for automatically optimizing face shape
An automatic optimization and face shape technology, applied in the field of photography, can solve problems such as inability to achieve real-time processing, and achieve the effect of wide application and high efficiency
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Publication Date
- 2017-11-07
Smart Images

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Abstract
Description
technical field
[0001] The invention relates to a photographing method, in particular to a photographing method based on a mapping table for automatically optimizing face shapes. Background technique
[0002] With the continuous popularization of smart phones, the camera configuration of mobile phones has been continuously upgraded. People prefer to use mobile devices to take selfies. Among them, the beautification of human face is the focus of people's attention. Heart of beauty in everyone. Everyone wishes to have a more refined and beautiful face shape. Although plastic surgery is very mature now, many people are discouraged by the high cost and risk of surgery. It is the simplest and direct way to improve one's face shape through digital image processing, which is not only simple but also safe and reliable. So in order to solve this problem, the current method is all by means of digital image editing software, but not all people can use the image editing software sk...
Examples
Embodiment Construction
[0026] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer and clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0027] Such as figure 1 As shown, the present invention provides a kind of photographing method of automatic face optimization, it is characterized in that, comprises the following steps:
[0028] 10: Step 1. Turn on the camera and load the mapping table;
[0029] 20: Step 2. Capture camera data;
[0030] 30: Step 3. Perform face detection on the captured data;
[0031] 40: Step 4. Judging whether a human face is detected, if no human face is detected, then perform step 2; if a human face is detected, perform step 5;
[0032] 50: Step 5. Using the m...