Generation of Gradient-Preserving Images allowing HOG Feature Extraction

Masaki Kitayama; Hitoshi Kiya

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arXiv · 2104.01350

Generation of Gradient-Preserving Images allowing HOG Feature Extraction

Masaki Kitayama·Hitoshi Kiya

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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.

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Masaki Kitayama, Hitoshi Kiya. 2021-05-22. Generation of Gradient-Preserving Images allowing HOG Feature Extraction. https://arxiv.org/abs/2104.01350

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