Binocular Eye-Tracking Vergence Quality Metric for 3D Depth Perception
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current eye-tracking technologies primarily focus on 2D media analysis, and there is a lack of effective methods to quantify and improve the depth perception of 3D media content, which is crucial for enhancing the viewer's experience and refining 3D content creation and consumption.
Innovation Solution
The implementation of binocular eye-tracking systems that calculate a vergence quality metric (VQM) to analyze viewer interactions with 3D media, allowing for the adjustment and refinement of 3D content by tracking the convergence of the viewer's point of gaze and providing insights into depth perception, which can be calibrated for accuracy and aggregated across multiple viewers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional 2D eye-tracking systems are used, then the analysis of 2D media content is effective, but the depth perception analysis of 3D media content is insufficient
Solution Approach 1:
The patent transitions from 2D eye-tracking to 3D eye-tracking by adding depth dimension measurement. The system uses binocular disparity and vergence angle calculations to determine the three-dimensional position of the viewer's gaze, enabling analysis of depth perception in 3D media content. This dimensional extension allows the system to measure not just where on the screen the viewer is looking, but also at what perceived depth.
Solution Approach 2:
The patent introduces new measurement parameters specific to 3D content: vergence quality metric (VQM), perceived depth of gaze, and binocular disparity measurements. These parameters change the nature of the data collected from traditional 2D coordinates to include depth perception metrics, enabling quantitative analysis of how viewers perceive depth in 3D media.
2Measurement precision
If binocular eye-tracking systems with VQM calculation are implemented, then depth perception analysis capability is improved, but system complexity increases
Solution Approach 1:
The patent uses the vergence quality metric (VQM) as an intermediary parameter that simplifies the complex relationship between binocular eye positions and perceived depth. Instead of directly measuring complex 3D gaze positions, the system calculates VQM based on vergence angles and uses this intermediate metric to infer depth perception quality, reducing computational complexity while maintaining measurement accuracy.
Solution Approach 2:
The patent replaces complex mechanical 3D measurement systems with computational methods. Instead of using multiple physical sensors or cameras to directly measure 3D gaze position, the system uses standard 2D eye-tracking data combined with mathematical calculations (vergence angles, disparity computations) to derive depth perception metrics, reducing hardware complexity.
3Ease of operation
If real-time depth effect adjustment is implemented based on eye-tracking data, then viewer experience is enhanced, but processing requirements and system complexity increase
Solution Approach 1:
The patent applies partial adjustment of depth effects based on eye-tracking data rather than complete real-time rendering adjustments. The system identifies regions of interest where depth perception issues occur and applies localized depth adjustments only to those specific areas, reducing overall processing requirements while still enhancing viewer experience in critical regions.
Solution Approach 2:
The patent implements feedback loops where eye-tracking data continuously informs depth effect adjustments. The system monitors viewer gaze patterns, calculates VQM metrics, and automatically adjusts depth rendering parameters based on this feedback, creating an adaptive system that enhances viewer experience without requiring manual intervention or excessive processing power through intelligent algorithms.
Data Source
AI summary
A system and method are provided that use point of gaze information to determine what portions of 3D media content are actually being viewed to enable a 3D media content viewing experience to be improved. Tracking eye movements of viewers to obtain such point of gaze information are used to control characteristics of the 3D media content during consumption of that media, and/or to improve or otherwise adjust or refine the 3D media content during creation thereof by a media content provider. Outputs may be generated to illustrate what in the 3D media content was viewed at incorrect depths. Such outputs may then be used in subsequent or offline analysis, e.g., by editors for media content providers when generating the 3D media itself, in order to gauge the 3D effects. A quality metric can be computed based on the point of gaze information, which can be used to analyze the interactions between viewers and the 3D media content being displayed. The quality metric may also be calibrated in order to accommodate offsets and other factors and/or to allow for aggregation of results obtained for multiple viewers.