Distributed face recognition method, apparatus and system
A face recognition, distributed technology, applied in the field of face recognition, can solve the problems of high cost and large base of face sampling
Inactive Publication Date: 2017-02-15
北京维盛视通科技有限公司
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[0004] However, the 3D virtual fitting system in the prior art needs to collect a large number of samples and carry out face training to extract key information when performing user face recognition. Sampling requires a large base and high cost
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[0048] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making...
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The present invention provides a distributed face recognition method, apparatus and system and belongs to the face recognition field. The method includes the following steps that: the original face image of a user is acquired; the original face image is processed into a face gray scale image; recognition processing is performed on the face gray scale image, preset image features are extracted from the face gray scale image, wherein the preset image features include face features and eye features; and recognition processing is performed on the face image according to the preset image features, a recognition result indicating whether the face image passes recognition is obtained. According to a method in the prior art, when face recognition is performed on a user, a large number of samples are acquired for face recognition training, and as a result, cost can be high. According to the above face recognition algorithm, the preset image features in the face gray scale image are extracted, namely, a pure algorithm is adopted to carry out key information extraction, recognition processing is performed on the face image according to the key information; and based on the above face recognition algorithm, sampling and sample expansion are not required, and an entire recognition process is simple in control and low in cost.
Description
technical field [0001] The present invention relates to the technical field of face recognition, in particular to a distributed face recognition method, device and system. Background technique [0002] Face recognition is a biometric identification technology based on human facial feature information; it is usually implemented based on computer technology, that is, to obtain face feature information through computer technology, and analyze and compare the face feature information , to perform identity authentication based on the comparison result. With the development of computer technology, the scientific value of face recognition has become more and more prominent, especially in digital image processing, which has a wide range of applications. [0003] With the development of 3D virtual fitting technology, the above-mentioned face recognition is an important part of 3D virtual fitting technology. The most commonly used is the 3D virtual fitting system. Before the system ...
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IPC IPC(8): G06K9/00G06K9/48
CPCG06V40/164G06V40/169G06V40/165G06V40/171G06V10/478G06V10/46
Inventor 徐艳霞俞俊平冉长江
Owner 北京维盛视通科技有限公司