Automatic portrait slimming method based on 3D modeling
A 3D, slimming technology, applied in 3D modeling, image enhancement, image analysis, etc., can solve the problems that it is difficult to meet the user's detailed requirements for the figure's shape, cannot guarantee the size of the original image, and cannot perform slimming operations, etc., to overcome the image size Effects of making changes, overcoming fine-grained adjustments, and simplifying steps
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[0022] Such as figure 1 As shown, a 3D modeling-based automatic portrait slimming method includes the following steps:
[0023] S1. Use the self-trained human body detection algorithm to obtain all human body positions, corresponding genders, and fat and thin ratings in the picture;
[0024] S2. Use the Openpose algorithm that can identify 25 key parts to obtain key point coordinates and confidence values for each object in the human body position frame, and then organize the results of Openpose according to the format of the COCO data set;
[0025] S3. Send the key point data organized according to the format of the COCO dataset into the Pose2Seg background removal algorithm to complete the background removal of the human body area;
[0026] S4. Send the human body area and bone key point data with the background removed to the smplify-x modeling algorithm to obtain a 3D model of the human body;
[0027] S5. For the output results of the modeling, use PCA principal compon...
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