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A face detection method based on a convolutional neural network

A convolutional neural network and face detection technology, which is applied in the direction of equipment, computing, character and pattern recognition, etc., can solve the problems of insufficient recognition speed, difficult detection of faces, and insufficient recognition accuracy, achieving short training time, Simple network structure and high detection accuracy

Active Publication Date: 2019-05-28
TIANJIN UNIV
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Problems solved by technology

The face detection method based on deep learning is also constantly developing, but for the current method, taking the most commonly used MTCNN method as an example, its recognition speed is not fast enough, and the recognition accuracy is not high enough, especially for images and videos. Occlusion, or different angles, sides, and small faces in the frame are not easy to detect

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  • A face detection method based on a convolutional neural network
  • A face detection method based on a convolutional neural network
  • A face detection method based on a convolutional neural network

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Embodiment Construction

[0030] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0031] Such as figure 1 As shown, it is a flow chart of a face detection method based on convolutional neural network.

[0032] A kind of face detection method based on convolutional neural network, this method comprises the following steps:

[0033] Step 1 (110) establishes a database and obtains image data for preprocessing to construct a convolutional neural network;

[0034] In this step, establish a database to obtain image data, that is, include pictures with the following requirements in the established database: the picture contains at least one human face, and the position of the human face is not required, preferably people who are not in the center and far away face; and the background of the face is complex and diverse, including various indoor and outdoor scenes; the position of the face in the image is marked with a rectangular frame, and the face incl...

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Abstract

The invention discloses a face detection method based on a convolutional neural network. The method comprises the following steps: step (1), establishing a database; Step (2), performing preprocessingon the image in the database; Step (3), training a built deep learning network; and (4) the training result is tested, the detection accuracy of shielded, different-angle and side faces appearing inthe picture and small and fuzzy faces in the picture is high, the network structure is simple, the number of iteration parameters is small, and the training time is short.

Description

technical field [0001] The invention belongs to the fields of computer vision and artificial intelligence, and in particular relates to a face detection method based on a convolutional neural network. Background technique [0002] Face detection refers to the process of determining the position and size of a face in an image of a human face. It is an important part in the field of computer vision and a key step in preprocessing for face recognition. Its detection accuracy is very high. To a large extent, it also determines the accuracy of face recognition and has a great impact on the follow-up work. Therefore, the research on face detection has great significance and practical value. [0003] Face detection has a wide range of applications in real life: such as identity authentication and security protection, in media and entertainment about faces, mobile phones, digital cameras and other electronic products, as well as image retrieval and so on. Face detection methods can...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 刘高华王萌苏寒松
Owner TIANJIN UNIV