Face feature point positioning and tracking method based on mobile platform
A face feature and mobile platform technology, applied in the field of computer vision, can solve problems such as slow processing speed, large memory consumption, and high computational complexity, and achieve the effect of improving efficiency and good application prospects
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[0020] The technical solutions provided by the present invention will be described in detail below in conjunction with specific examples. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.
[0021] Such as figure 1 As shown, the present invention can be divided into two stages of learning positioning and testing positioning, specifically, comprising the following steps:
[0022] Step 1. Labeling and standardization of training set feature points
[0023] The face calibration points involved in the present invention are selected according to the MPEG-4 standard. Because the 84 feature points defined by the face definition parameter FDP are too complicated, we have selected 61 of them as required, and discarded the seven points in the lips. points, only the feature points of the outer contour of the lips are used, and only eight feature points on the ...
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