研究目的
To develop a method for compensating color vision deficiency using an optical see-through head-mounted display with controllable light subtraction via a transmissive LCD panel.
研究成果
The proposed system successfully achieved light subtraction for CVD compensation using a transmissive LCD panel with OST-HMD, showing improved color contrast compared to existing methods. However, issues with focus alignment and non-linear distortions require further optimization for real-world applications.
研究不足
The study used limited size lookup tables for non-linear corrections, ignored focus alignment issues between devices, and could only perform uniform light subtraction due to pixel-wise alignment challenges. Diffraction effects from the LCD panel and gradient effects in OST-HMD output were noted as limitations.
1：Experimental Design and Method Selection:
The study designed a prototype system using a transmissive LCD panel for light subtraction in OST-HMD to achieve daltonization for CVD compensation. It involved hardware setup with cameras and displays, and algorithms for color correction based on inverse mapping of light decay and distortion functions.
2：Sample Selection and Data Sources:
Images composed of red and green panels were used as test cases to evaluate the effectiveness of CVD compensation.
3：List of Experimental Equipment and Materials:
Included Blackfly USB color cameras (BFLY-U3-23S6C-C), Sony LCX017 LCD panel with controller, Vuzix STAR1200 OST-HMD, 50/50 beam-splitter, and BenQ GL2450 LED monitor. Experiments were conducted in a dark room to avoid ambient light interference.
4：Experimental Procedures and Operational Workflow:
The system captured scene images with a scene camera, computed compensation images using daltonization, and controlled LCD and OST-HMD displays based on predicted functions for light subtraction and distortion. User-perspective images were captured for evaluation.
5：Data Analysis Methods:
Data from user-perspective cameras were analyzed to compare results with target images, using similarity metrics and visual inspection for effectiveness.
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