Computer vision-based system for early diagnosis of stereoscopic vision alterations

Area of Science:

• Ophthalmology
• Computer Vision
• Pediatric Vision Science

Background:

• Stereopsis, or 3D perception, relies on binocular vision, with critical development concluding around age seven.
• Delayed diagnosis of Stereoscopic Visual Alterations (SVA) in children can impede effective treatment due to established neural connections.
• Current SVA detection methods using stereogram cards have limitations, including susceptibility to monocular cues and non-standardized testing levels.

Purpose of the Study:

• To introduce a novel computer vision-based system for measuring stereopsis.
• To enable early detection and quantification of Stereoscopic Visual Alterations (SVA) in children.
• To develop an engaging and accurate platform for assessing depth perception in pediatric patients.

Main Methods:

• Implementation of a computer vision system to analyze stereoscopic models.
• Development of varied and attractive stereoscopic designs for pediatric engagement.
• Validation of the system through an early-stage prototype and objective evaluation of accuracy and reliability.

Main Results:

• The novel system successfully detects SVA in patients.
• The system accurately calculates the degree of perceived depth.
• Objective evaluations demonstrated satisfactory measurement accuracy and reliability for the prototype.

Conclusions:

• Computer vision offers a promising approach for the early diagnosis of SVA.
• The developed platform has the potential to improve SVA detection accuracy and patient engagement.
• Accurate and timely assessment of stereopsis in children is vital for therapeutic intervention.