Human face key point extension calculation method, storage medium, electronic device and system

Abstract

The invention discloses a human face key point expansion calculation method, storage medium, electronic equipment and system, and relates to the field of live image processing, including establishing a world coordinate system based on the position of the human face; taking the center point of the nose and the bridge of the nose in the human face, Calculate the rotation angle ɑ of the face on the xy plane; take any two points C(x, y) and D(x, y) of the 68 key points of face recognition, and calculate the key point F(x , y) reference point E (x, y); calculate the distance L1 between the key point F (x, y) and the reference point E (x, y) of the forehead of the person's face to be requested; calculate the key point of the forehead of the person's face to be requested F(x,y). The invention can realize the calibration of the position coordinates of the key points of the forehead of the human face.

Description

technical field [0001] The invention relates to the field of live image processing, and specifically relates to a face key point expansion calculation method, storage medium, electronic equipment and system. Background technique [0002] The key points of the face refer to the key point position information of the eyebrows, eyes, nose, mouth, and face contours of the face in the video or picture. It is often used to process the face parts in the picture or video. arrive. [0003] At present, the common face 68 key points usually only include the location information of key points such as eyebrows, eyes, nose, mouth, and face contour, but do not include the key point information of the forehead of the face. In live broadcast applications, it is often necessary to Subtle processing is performed on the face of the person in the live broadcast, so the key point information of the forehead needs to be used, and the existing 68 key points of the face are obviously not applicable....

AI Technical Summary

Problems solved by technology

[0003] At present, the common face 68 key points usually only include the location information of key points such as eyebrows, eyes, nose, mouth, and face contour, but do not include the key point information of the forehead of the face. In live broadcast applications, it is often necessary to Subtle processing is performed on the face of the person in the live broadcast, so the key point information of the forehead needs to be used. The existing 68 key points of the face are obviously not applicable

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