Dual-color augmented reality waveguide display for color vision assistance using color tracking
Published: 1 May 2026| Version 2 | DOI: 10.17632/7nbh3xww2z.2
Contributors:
Young-Wan Choi, , , Description
This project involves methods for extracting and identifying specific colors using artificial neural network techniques and the HSV color space.
Files
Steps to reproduce
This repository provides the artificial neural network (ANN)-based color tracking algorithm used to identify red-color regions in real-world scenes. The extracted color regions serve as overlay cues in a dual-color holographic optical element (CM-HOE)-based augmented-reality (AR) waveguide display, designed to assist users with color vision deficiency (CVD) in discriminating red-green color pairs. The algorithm operates on the HSV color space and was implemented in Python with a feed-forward ANN.
Institutions
- Chung-Ang UniversitySeoul, Seoul
Categories
Artificial Neural Network, Computer Imaging