Large-amplitude face straightening method by means of adversarial network and three-dimensional morphological model
A three-dimensional shape, large-scale technology, applied in the field of face detection
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[0052] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.
[0053] figure 1 It is a system flowchart of a large-scale human face straightening method using an adversarial network and a three-dimensional shape model in the present invention. It mainly includes reconstruction module; generation network and classification module; identification module.
[0054]Among them, the reconstruction module includes two parts, the preset structure and the reconstruction structure.
[0055] The preset structure consists of four components:
[0056] (1) Generator G, used to receive the input non-front face image and convert it into a front face image;
[0057] (2) Classifier D, which is used to classify whether the front face map is real or generated;
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