Journal of System Simulation ›› 2016, Vol. 28 ›› Issue (9): 2195-2200.

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Private Face Detection Based on Random Sub-images in Cloud

Yuan Peng1,2, Jin Xin1, Li Xiaodong1, Zhao Geng1, Wu Yaming1,2, Ma Mingxin1,2, Tian Yulu1, Chen Yingya1   

  1. 1. Beijing Electronic Science and Technology Institute, University, Beijing 100070, China;
    2. Xidian University, University, Xi’an 710071, China
  • Received:2016-05-31 Revised:2016-07-11 Online:2016-09-08 Published:2020-08-14

Abstract: In order to detect faces of terminal face image in the cloud at the same time protect both privacy of data,a method of face images privacy detection based on random sub-Images representation was proposed. Terminal divided original image into 2 value sub-images weighted sum based on random sub-images generation algorithm and randomly arranges weights of sub-images. Terminal sent sub-images according to the weights of random sequence to the cloud server. Cloud server detected sub-images with its face detection algorithm. Terminal merges test results based on random sub were exploded. Two random vectors were leveraged to protect the parameters of the trained face detector and the content of the terminal image. The innovation of this method is that the random sub-images thought is proposed and is applied to the image face detection making privacy face detection achieve in the cloud.

Key words: cloud, face detection, privacy, random sub-image, random vectors

CLC Number: