Face detection method, method and device for training parameters of convolutional neural network and medium

A convolutional neural network and face detection technology, which is applied to biological neural network models, neural architectures, instruments, etc., can solve the problems of reducing the efficiency of face recognition and taking too much time, and achieve the effect of avoiding the calculation process and improving efficiency

Active Publication Date: 2018-05-15
SHENZHEN LIFEI TECHNOLOGIES CO LTD
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But this requires repeated calculation of the vector features of the image

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  • Face detection method, method and device for training parameters of convolutional neural network and medium
  • Face detection method, method and device for training parameters of convolutional neural network and medium
  • Face detection method, method and device for training parameters of convolutional neural network and medium

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[0058] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0059] Many specific details are set forth in the following description to facilitate a full understanding of the present invention, and the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0060] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood...

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Abstract

The invention discloses a face detection method. The face detection method comprises the following steps: acquiring a to-be-detected image; inputting the to-be-detected image into a trained convolutional neural network, recognizing whether a face is included in the to-be-detected image, and estimating a facial pose, wherein a training sample image in a training sample set for training the convolutional neural network comprises position data and pose data of the face; outputting a detection result whether the face is included in the to-be-detected image; and outputting pose information of the face in the to-be-detected image if the to-be-detected image includes the face. The invention further discloses a face detection device, a method for training parameters of convolutional neural network, a computer device and a computer-readable storage medium. According to the face detection method disclosed by the invention, the face pose can be synchronously estimated during face detection, and the face recognition efficiency is further improved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a face detection method, a convolutional neural network parameter training method, a device and a medium. Background technique [0002] With the development of information technology, the application of face recognition technology is gradually widespread. In various fields such as education, transportation, and finance, face recognition technology can help people solve many practical problems. The basis of face recognition technology is face detection technology. The accuracy of face detection and the change of face posture will have a significant impact on the accuracy of face recognition. [0003] In the existing face recognition technology, the face in the picture is generally detected by a face detection algorithm, and then the pose of the intercepted face picture is judged, and then the picture with a suitable pose is selected for face recognition. However, this r...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/161G06N3/045
Inventor 严蕤牟永强
Owner SHENZHEN LIFEI TECHNOLOGIES CO LTD
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