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FACE IMAGE RETRIEVAL METHODS AND SYSTEMS, PHOTOGRAPHING APPARATUSES, AND COMPUTER STORAGE MEDIA

机译:面部图像检索方法和系统,照相设备和计算机存储介质

摘要

FACE IMAGE RETRIEVAL METHODS AND SYSTEMS, PHOTOGRAPHING APPARATUSES, AND COMPUTER STORAGE MEDIA 5 The disclose image methods systems, photographing and storage The includes: obtaining face corresponding a to-be-retrieved by convolutional network, convolutional network configured with corresponding convolution calculation configuration information by a 10 processor, the convolutional neural network including at least one convolutional layer, the convolution calculation configuration information including a data bit width value corresponding to each convolutional layer in the convolutional neural network, and the to-be-retrieved image including at least one face region; searching a database for matched face information matches to-be-retrieved 15 information, the database storing at least one piece of preset face image information; and outputting the preset face image information that matches the to-be-retrieved face information. to embodiments, obtaining matched face image through in photographing the of real-time face retrieval is achieved, and the retrieval efficiency is improved. 20 [FIGURE 1]
机译:面部图像检索方法和系统,摄影装置以及计算机存储介质5公开了图像方法系统,摄影和存储装置,包括:通过卷积网络获取与要检索的人脸相对应的卷积;通过相应的卷积计算配置信息配置的卷积网络。 10处理器,所述卷积神经网络包括至少一个卷积层,所述卷积计算配置信息包括与所述卷积神经网络中的每个卷积层相对应的数据比特宽度值,以及所述待检索图像包括至少一个面部地区;在数据库中查找匹配的面部信息,将匹配的15个信息进行匹配,该数据库中至少存储有一张预设的面部图像信息;输出与待检索人脸信息匹配的预设人脸图像信息。在实施例中,实现了通过实时拍摄人脸来获取匹配的人脸图像,提高了检索效率。 20 [图1]

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