Target object recognition method, electronic equipment and storage medium
A technology of target objects and sample objects, which is applied in the field of image recognition, can solve the problems of large similarity differences and reduce the accuracy of face recognition, and achieve the effects of small calculation, reducing the loss of image details, and improving accuracy
Active Publication Date: 2021-10-15
合肥的卢深视科技有限公司
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[0003] However, images of the same person in different environments usually have differences in color, brightness, and saturation, resulting in a large difference in the similarity between an image of a person collected by an electronic device and different images of the person stored, which reduces the accuracy of Accuracy of face recognition
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[0019] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, various implementation modes of the present invention will be described in detail below in conjunction with the accompanying drawings. However, those of ordinary skill in the art can understand that, in each implementation manner of the present invention, many technical details are provided for readers to better understand the present application. However, even without these technical details and various changes and modifications based on the following implementation modes, the technical solutions claimed in this application can also be realized.
[0020] The division of the following embodiments is for the convenience of description, and should not constitute any limitation to the specific implementation of the present invention, and the various embodiments can be combined and referred to each other on the premise of no contradiction.
[0021] At pre...
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The embodiment of the invention relates to the field of image recognition, and discloses a target object recognition method, electronic equipment and a storage medium. The target object recognition method comprises the following steps: acquiring a target image containing a target object; inputting the target image into a preset color calibration network to obtain a color calibration matrix matched with the target image, wherein the color calibration matrix is an N x 3 matrix, N is an integer larger than or equal to 3, and the color calibration network is obtained through training based on a pre-trained target object recognition network; calibrating the color of the target image pixel by pixel according to the color calibration matrix to obtain a target calibration image; and inputting the target calibration image into the target object recognition network to obtain a recognition result. According to the embodiment of the invention, the target object recognition accuracy of the target object recognition network is improved.
Description
technical field [0001] Embodiments of the present invention relate to the field of image recognition, and in particular to a method for recognizing a target object, electronic equipment, and a storage medium. Background technique [0002] The method of target object recognition is a recognition technology based on object features, for example, face recognition technology. With the development of face recognition technology, due to its characteristics of accurate data, high safety factor, and convenient use, face recognition technology is widely used in various industries, such as unmanned retail machines, attendance machines and access control system and other equipment. Electronic devices with face recognition technology usually store images of the same person at different times and in different scenes; the electronic device collects the face image of the person in the face recognition scene, and compares the collected face image with the stored face image of the person. ...
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Login to View More IPC IPC(8): G06T7/33G06T7/90G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06T7/33G06T7/90G06N3/08G06T2207/10024G06T2207/20081G06T2207/20084G06T2207/30201G06N3/045G06F18/22G06F18/214
Inventor 保长存陈智超朱海涛江坤户磊
Owner 合肥的卢深视科技有限公司