Stereoscopic Digital Content Realignment via Invisible Alignment Patterns
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Solution Overview
Problem
Stereoscopic image alignment issues in virtual and augmented reality systems cause visual fatigue and discomfort due to misalignment from environmental factors like impacts or thermal expansion, which existing technologies fail to address effectively.
Innovation Solution
A computing device generates alignment patterns within the field of view of the user, utilizing isoluminant colors, high spatial frequency, or angled markings that are undetectable to the human vision system but detectable by cameras, allowing for automatic realignment of stereoscopic digital content by adjusting the left and right images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If alignment patterns are added to stereoscopic digital content for realignment, then realignment capability is improved, but visibility to the user may worsen
Solution Approach 1:
The alignment pattern uses specific local visual properties (isoluminant colors, high spatial frequency, angled markings) that make it invisible to human vision while remaining detectable by cameras. This localized application of special visual characteristics allows the pattern to serve its realignment function without causing user discomfort or visual artifacts.
Solution Approach 2:
The alignment pattern acts as an intermediary element that bridges the gap between automatic realignment needs and user experience. It provides a detection target for cameras while remaining imperceptible to users, thus mediating between the technical requirement for realignment and the requirement for comfortable viewing.
2Measurement precision
If additional display pixels are used for alignment patterns, then realignment precision is improved, but device complexity increases
Solution Approach 1:
The alignment pattern is embedded within the existing stereoscopic digital content rather than requiring separate dedicated display areas. This multi-functional approach allows the same display pixels to serve both content delivery and alignment pattern presentation, eliminating the need for additional display real estate.
Solution Approach 2:
The alignment pattern is merged with the stereoscopic digital content, combining the functional requirements of content display and alignment reference into a single integrated solution. This merging eliminates the need for separate alignment pattern displays or additional pixels.
3Extent of automation
If alignment patterns are made detectable by cameras, then automatic realignment is improved, but user detection of patterns may worsen
Solution Approach 1:
The alignment pattern exploits differences in detection parameters between human vision and camera systems. By using isoluminant colors (equal luminance for different hues), high spatial frequencies, and specific angular orientations, the pattern becomes undetectable to human eyes while remaining clearly detectable by camera sensors, thus enabling automatic realignment without user awareness.
Data Source
AI summary
Techniques and apparatuses for dynamic realignment of stereoscopic digital content is described herein. A computing device causes display of stereoscopic digital content, which includes one or more left images rendered for a left eye of a viewer and one or more right images rendered for a right eye of the viewer. An alignment pattern is generated within the stereoscopic digital content such that the alignment pattern is within the field of view of the viewer. The alignment pattern is designed to exploit the human vision system in order to avoid detection of the alignment pattern by the viewer. One or more cameras are controlled to detect the alignment pattern in the digital content. Then, the digital content is realigned by adjusting at least one of the left or right images of the digital content based on the detected alignment patterns.