PoliteCamera：手机拍照尊重陌生人隐私
PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing
摘要：
相机是现代手机的标准板载传感器。它使拍照流行，由于其方便和高分辨率。然而，当用户拍摄风景、建筑物或目标人物的照片时，照片中也可能无意中捕捉到陌生人。这些照片暴露了陌生人的位置和活动，因此可能侵犯他们的隐私。在本文中，我们提出了一个合作的移动拍照方案称为PoliteCamera，以保护陌生人的隐私。通过摄影师和陌生人之间的合作，照片中的陌生人的脸可以在拍摄照片时根据他的要求自动模糊。由于多个陌生人附近的摄影师可能会发出模糊的请求，但不是所有的人都在照片中，适应平衡卷积神经网络（ABCNN）提出了确定是否请求的陌生人在照片中的面部属性的基础上。评估表明，ABCNN可以准确地预测面部属性，PoliteCamera可以为陌生人提供准确的隐私保护。
英文摘要：
Camera is a standard on-board sensor of modern mobile phones. It makes photo taking popular due to its convenience and high resolution. However, when users take a photo of a scenery, a building or a target person, a stranger may also be unintentionally captured in the photo. Such photos expose the location and activity of strangers, and hence may breach their privacy. In this paper, we propose a cooperative mobile photographing scheme called PoliteCamera to protect strangers' privacy. Through the cooperation between a photographer and a stranger, the stranger's face in a photo can be automatically blurred upon his request when the photo is taken. Since multiple strangers nearby the photographer might send out blurring requests but not all of them are in the photo, an adapted balanced convolutional neural network (ABCNN) is proposed to determine whether the requesting stranger is in the photo based on facial attributes. Evaluations demonstrate that the ABCNN can accurately predict facial attributes and PoliteCamera can provide accurate privacy protection for strangers.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
