A Face Keypoint Detection Method Based on Sampling Convolution
A technology of face key points and detection methods, which is applied in the directions of instruments, calculations, character and pattern recognition, etc., can solve the time-consuming problems of convolution operations, and achieve the effect of improving detection accuracy and balancing accuracy and speed
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[0038] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0039] In this embodiment, such as figure 1 As shown, a face key point detection method based on sampling convolution, the method includes the following steps:
[0040] S1. Obtain a grayscale image containing a human face, and obtain a face frame in the grayscale image by using a face detection algorithm;
[0041] The face frame is a rectangle, and the rectangular area is expressed as (x, y, w, h), where x and y represent the coordinates of the upper left corner of the rectangular area, and w and h represent the width and height of the rectangular area.
[0042] S2. Prepare the training set, perform Prucker analysis on all faces in the training set images to obtain the average face key points S std ;
[0043] S3, will S std After the face frame size obtai
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