Single-picture three-dimensional face reconstruction method based on cascade regression network
A three-dimensional face, cascade regression technology, applied in the field of three-dimensional face reconstruction, can solve the problems affecting the accuracy of the three-dimensional face deformation model parameter solution, poor robustness, etc., and achieve improved feature extraction methods, large pose robustness, elimination of confounding effect
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[0034] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0035] A single image 3D face reconstruction method based on cascade regression network, the overall steps are:
[0036] Step 1. Data preparation stage:
[0037] a. Use a 3D scanner to collect 3D face data, including 2D face images from each perspective, face poses from each perspective, 3D face shape point clouds, 68 feature point annotations, and triangular relationships in point clouds, etc. ;
[0038] b. Perform face detection on the collected face image, crop the face image, and process the three-dimensional face shape point cloud according to the face pose to obtain a three-dimensional face shape point cloud corresponding to the cropped face image;
[0039] Step 2. Model design stage:
[0040] a. The model consists of a two-level multi-task convolutional neural network, which regresses three-dimensional face shape, face pose ...
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