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Generation of Gradient-Preserving Images allowing HOG Feature Extraction

2021-04-03 09:06:58
Masaki Kitayama, Hitoshi Kiya
arXiv_CV
           
Abstract

In this paper, we propose a method for generating visually protected images, referred to as gradient-preserving images. The protected images allow us to directly extract Histogram-of-Oriented-Gradients (HOG) features for privacy-preserving machine learning. In an experiment, HOG features extracted from gradient-preserving images are applied to a face recognition algorithm to demonstrate the effectiveness of the proposed method.

Abstract (translated)

URL

https://arxiv.org/abs/2104.01350

PDF

https://arxiv.org/pdf/2104.01350.pdf

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