XR Environment Calibration via Coordinate Offset Transformation
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Solution Overview
Problem
The accuracy of calibrating physical objects in extended reality (XR) environments is compromised due to differences in environment parameters set in various application coordinate systems, leading to position deviations and reduced calibration accuracy.
Innovation Solution
A method and apparatus for environment calibration that determine calibration composition data of a target physical object in a computation coordinate system and use this data to create a calibration model in a rendering coordinate system, accounting for the coordinate offset between the two systems to ensure accurate calibration across different application coordinate systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different environment parameters are set in respective application coordinate systems for the same real environment, then user interaction in various virtual scenes is enabled, but position deviation between calibration model and actual position occurs
Solution Approach 1:
The patent establishes a unified calibration model that serves multiple application coordinate systems simultaneously. By determining calibration composition data in a computation coordinate system and transforming it to rendering coordinate systems, a single calibration process achieves universality across different virtual scenes and coordinate systems, eliminating the need for separate calibrations while maintaining accuracy.
Solution Approach 2:
The patent transforms calibration parameters between different coordinate systems using coordinate offset calculations. By changing the parameter representation from computation coordinate system to rendering coordinate system through mathematical transformation, the system adapts to different coordinate systems while preserving the underlying calibration accuracy.
2Manufacturing precision
If calibration is performed in computation coordinate system, then calibration composition data can be determined, but position deviation occurs when rendering in different coordinate systems
Solution Approach 1:
The computation coordinate system serves as an intermediary between the physical environment and multiple rendering coordinate systems. Calibration is performed in this intermediate computation coordinate system, and then transformed to various rendering coordinate systems through coordinate offset calculations, enabling both precision and compatibility.
Solution Approach 2:
The patent introduces a computation coordinate system as an additional dimensional layer between the physical environment and rendering coordinate systems. This extra dimension allows calibration to be performed once in the computation coordinate system and then projected to multiple rendering coordinate systems without loss of precision.
3Ease of operation
If multiple application coordinate systems are used for user interaction, then scene versatility is improved, but calibration accuracy is compromised due to parameter differences
Solution Approach 1:
The unified calibration model provides universal support for multiple application coordinate systems used in user interaction. By establishing calibration in the computation coordinate system and transforming to rendering coordinate systems, the system enables versatile user interaction across different scenes while maintaining consistent calibration accuracy through coordinate transformation.
Data Source
AI summary
Embodiments of the application provide a method, apparatus, device, and storage medium for environment calibration. The method includes: at an electronic device configured to communicate with a display generation component and one or more input devices: displaying, via the display generation component, a three-dimensional computer-generated environment; determining, in the three-dimensional computer-generated environment, calibration composition data of a target physical object in a computation coordinate system; and determining a calibration model of the target physical object in a rendering coordinate system used for calibration, based on the calibration composition data and a coordinate offset between the computation coordinate system and the rendering coordinate system.