1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2021
Generation of Gradient-Preserving Images allowing HOG Feature Extraction
Masaki Kitayama, Hitoshi Kiya
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-…
cs.CV2020
Difficulty in estimating visual information from randomly sampled images
Masaki Kitayama, Hitoshi Kiya
In this paper, we evaluate dimensionality reduction methods in terms of difficulty in estimating visual information on original images from dimensionally reduced ones. Recently, di…
cs.CV2019★ 1 cited
HOG feature extraction from encrypted images for privacy-preserving machine learning
Masaki Kitayama, Hitoshi Kiya
In this paper, we propose an extraction method of HOG (histograms-of-oriented-gradients) features from encryption-then-compression (EtC) images for privacy-preserving machine learn…