XR Object Tracking With Selective Visual Enhancement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques for enhancing visibility and accuracy of obscured or distant content in extended reality (XR) environments are inadequate, particularly in terms of user experience and precision.
Innovation Solution
Enhancements for specified objects or regions within an XR environment are triggered by detecting user intent and context, using gaze position, hand gestures, and sensor data to apply magnification, illumination, and background masking, with AI and ML for intelligent zooming and image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If magnification enhancement is applied to distant or obscured objects, then visibility and detail accuracy are improved, but the field of view is reduced and device complexity increases
Solution Approach 1:
The enhancement system segments the XR environment into multiple regions (foreground objects, background regions, obscured areas) and applies different enhancement techniques to each segment. This allows selective magnification of specific objects or regions without requiring full-screen complex processing, thereby improving visibility accuracy while managing device complexity through region-based processing.
Solution Approach 2:
The system dynamically adjusts enhancement parameters (magnification level, illumination intensity, background transparency) based on real-time detection of user gaze position, hand gestures, and object characteristics. This dynamic adaptation allows the system to provide high-precision enhancement only when and where needed, reducing overall computational complexity compared to continuous full-scene enhancement.
2Measurement precision
If background region is masked out or blurred to enhance object visibility, then object isolation and detail clarity are improved, but context information is lost and user orientation is reduced
Solution Approach 1:
The system applies different quality levels to different regions: high-quality enhancement (magnification, illumination adjustment) is applied locally to the target object or region, while the background maintains its original context information. This local quality approach allows clear object detail viewing without completely losing background context, resolving the contradiction between object isolation and context preservation.
Solution Approach 2:
Instead of completely masking out the background, the system applies partial enhancement by making the background semi-transparent or slightly blurred rather than fully obscured. This partial action maintains sufficient context information for user orientation while still achieving the primary goal of object detail clarity, avoiding excessive information loss.
3Ease of operation
If real-time enhancement is applied based on user gaze and gestures, then user experience and interaction precision are improved, but processing time and energy consumption increase
Solution Approach 1:
The system performs preliminary actions by pre-processing the XR environment to identify and segment objects and regions before user interaction. Object detection, classification, and spatial mapping are performed in advance, so when the user makes a gaze or gesture input, the enhancement can be applied immediately to the pre-identified target without requiring time-consuming real-time analysis, thereby reducing processing time while maintaining precise user interaction.
Solution Approach 2:
The system uses passive sensors (eye tracking, hand gestures) that automatically detect user intent without requiring active commands. The enhancement system serves itself by automatically identifying when and where enhancement is needed based on user behavior patterns, eliminating the need for manual activation and reducing the time between user interest and enhancement application.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods that enhance a specified object or a specified region within a view of an XR environment. For example, a process may present a first view of an extended reality (XR) environment to a user. The process many further detect an enhancement triggering condition associated with viewing an object or region of the XR environment based on sensor data. The enhancement triggering condition may be detected based on: identifying objects or regions of the XR environment. The process may further determine that a display attribute associated with the object or region of the XR environment satisfies a criterion for enhanced display of the object or region and based on the display attribute satisfying the criterion, the object or region is modified in a second view of the XR environment.