论文标题

如何阅读面孔而不看他们

How to read faces without looking at them

论文作者

Shandilya, Suyash, Quamer, Waris

论文摘要

面部阅读是情感识别最直观的方面。不幸的是,对面部表达的数字分析需要数字记录个人面孔。由于在更加有利的场景中尤其需要情绪分析,因此捕获面孔变得严重侵犯了隐私。在本文中,我们使用压缩分析的概念来概念化一个系统,该系统可压缩面部以确定无法使用的重建,同时允许推理可接受(可调节)的精度。

Face reading is the most intuitive aspect of emotion recognition. Unfortunately, digital analysis of facial expression requires digitally recording personal faces. As emotional analysis is particularly required in a more poised scenario, capturing faces becomes a gross violation of privacy. In this paper, we use the concept of compressive analysis to conceptualise a system which compressively acquires faces in order to ascertain unusable reconstruction, while allowing for acceptable (and adjustable) accuracy in inference.

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