Virtual trial make-up method based on human face feature analysis
A facial feature and makeup test technology, applied in the field of virtual makeup test combined with facial feature analysis technology, can solve problems such as unstable effect and low output efficiency, avoid unstable effect, realize automation, and improve production efficiency Effect
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[0012] This virtual makeup trial method combined with face feature analysis technology includes the following steps: (1) frontal face detection; (2) face feature point detection; (3) face feature segmentation; (4) virtual makeup effect synthesis.
[0013] Preferably, step (1) utilizes the face detection algorithm based on Haar wavelet feature and cascade classifier to detect the frontal face from the input image, and cut out the frontal face image according to the detection position, such as figure 2 shown.
[0014] Preferably, step (2) uses the active contour model (ASM) method to extract the facial feature point position for the frontal face image obtained in step (1), such as image 3 shown.
[0015] Preferably, step (3) connects the feature points of the left eyebrow, right eyebrow, left eye, right eye, and mouth edge obtained in step (2) with Bezier curves to obtain the facial features segmentation area, such as Figure 4 shown.
[0016] Preferably, for the concealer ...
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