Binocular AR Display Calibration via Depth-Disparity Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing portable computing devices have limitations in enabling augmented reality applications due to small field of view, limited 3D capabilities, and inadequate augmented reality support, particularly in calibrating binocular optical see-through systems.
Innovation Solution
A system and method for calibrating a binocular optical see-through augmented reality display using a calibration application that determines disparity ranges by rendering a virtual object relative to a real-world object, allowing user input for adjustment, and mapping depth to disparity, thereby enabling seamless overlay of digital information onto real-world objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of moving object
If a binocular optical see-through display is used for augmented reality, then 3D capabilities and field of view are improved, but calibration complexity and alignment precision deteriorate
Solution Approach 1:
The patent applies preliminary action by performing calibration procedures before actual augmented reality usage. The system pre-determines disparity ranges and depth mappings through a structured calibration process that establishes the relationship between virtual and real object positions, ensuring accurate alignment is prepared in advance rather than being determined during operation.
Solution Approach 2:
The patent uses an intermediary approach by introducing a calibration application and disparity range mapping as a mediator between the binocular display system and the real world. This intermediary layer translates real-world depth information into appropriate disparity values for the binocular display, simplifying the calibration process while maintaining precision.
2Measurement precision
If disparity calibration is performed to achieve seamless overlay, then alignment precision is improved, but calibration time and user interaction complexity increase
Solution Approach 1:
The patent applies parameter changes by systematically varying disparity values across different depth ranges during calibration. The system establishes mappings between depth parameters and disparity parameters, allowing the calibration process to determine precise alignment relationships through controlled parameter adjustments rather than trial-and-error methods.
Solution Approach 2:
The patent implements feedback mechanisms where the system monitors user responses to virtual object positioning and uses this feedback to refine disparity range determinations. The calibration process incorporates user input about perceived alignment, creating a feedback loop that improves alignment precision while streamlining the calibration experience.
3Area of moving object
If the field of view is expanded in binocular displays, then augmented reality capabilities are improved, but depth perception accuracy and calibration difficulty worsen
Solution Approach 1:
The patent applies segmentation by dividing the field of view into distinct disparity ranges corresponding to different depth zones. Instead of treating the entire field of view as a single calibration target, the system segments it into multiple ranges, each with its own disparity mapping characteristics, allowing for more accurate depth perception across the expanded field of view.
Solution Approach 2:
The patent addresses depth perception in the expanded field of view by introducing another dimension through disparity mapping. The system maps real-world three-dimensional depth information onto the two-dimensional display plane with appropriate disparity values, enabling accurate depth perception even as the field of view expands beyond traditional boundaries.
Data Source
AI summary
The disclosure includes a system and method for calibrating a binocular optical see-through augmented reality display. A calibration application renders one or more images of a virtual object on the one or more displays of the human interface device, and receives a user input to adjust a position of the one or more images on the one or more displays. In response to the input, the calibration application identifies a first and second boundary of a target range surrounding a real-world object at a first and second depth, respectively. The calibration application determines a first and second disparity corresponding to the first and second boundary and may record the disparities in relation to the depth of the real-world object.