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

Inactive Publication Date: 2017-10-10
SHENZHEN WEITESHI TECH
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Problems solved by technology

[0005] Aiming at solving the problem of face alignment in the background of limited conditions, the purpose of the present invention is to provide a large-scale face alignment method using an adversarial network and a three-dimensional shape model, and proposes a combination of a generative network and a recognition engine new frame

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  • Large-amplitude face straightening method by means of adversarial network and three-dimensional morphological model
  • Large-amplitude face straightening method by means of adversarial network and three-dimensional morphological model
  • Large-amplitude face straightening method by means of adversarial network and three-dimensional morphological model

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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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Abstract

The invention provides a large-amplitude face straightening method by means of an adversarial network and a three-dimensional morphological model. The main content of the large-amplitude face straightening method by means of an adversarial network and a three-dimensional morphological model includes a reconstruction module, a generation network and classification module, and an identification module. The large-amplitude face straightening method by means of an adversarial network and a three-dimensional morphological model includes the steps: a generator generates a forward front face image by taking a non-forward front face image as input, and at the same time a classifier tries to determine whether the image is a real image and utilizes the fed back information to promote the image generated from the generator to be more close to the real image, and at the same time an identification engine is used to maintain the original identity characteristics in the input image. The large-amplitude face straightening method by means of an adversarial network and a three-dimensional morphological model can process the non forward face, especially a large-amplitude deflected face image, can provide a generation network and a morphological model to straighten the face, and can greatly improve the effect of face identification and straightening at the same time.

Description

technical field [0001] The invention relates to the field of human face detection, in particular to a large-scale human face straightening method using an adversarial network and a three-dimensional shape model. Background technique [0002] Face detection and recognition is a topic in the interdisciplinary field of biometric recognition and artificial intelligence, which has received extensive attention in recent years. Face image is the main feature of human beings. Compared with other physical features, face is relatively stable and not easy to be forgotten, changed and stolen. Moreover, using face image to identify identity is easy to be accepted by people, but in daily life However, not all faces appearing in all scenes are front-facing faces, so how to align the faces in the image for recognition is a key technology, which will benefit security permissions in the social field, bank account and shopping security, Citizen immigration affairs and even the field of anti-t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/172
Inventor 夏春秋
Owner SHENZHEN WEITESHI TECH
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