XR Spatial Element Adjustment via 3D Layout Recognition
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Solution Overview
Problem
The existing methods for manually calibrating spatial elements in extended reality (XR) devices are cumbersome and inefficient, requiring re-calibration of all spatial elements when an error occurs, which lowers the efficiency of determining object layouts in a scene.
Innovation Solution
A method that involves displaying an environmental picture obtained by image acquisition of a scene region, performing three-dimensional layout recognition to generate a first spatial element representing a three-dimensional simulation structure of a scene object, and allowing adjustments to this spatial element to generate an adjusted spatial layout element, which is used to create a three-dimensional virtual environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration of spatial elements is performed, then the accuracy of scene layout can be improved, but the time consumption and operational complexity increase significantly
Solution Approach 1:
The system performs automatic spatial element calibration using image acquisition and three-dimensional layout recognition algorithms. The XR device automatically captures environmental images, recognizes spatial structures, and generates spatial layout elements without requiring manual user intervention for each calibration point, thereby significantly reducing time consumption while maintaining accuracy.
Solution Approach 2:
The patent replaces manual mechanical calibration operations with automated image processing and computer vision systems. The XR device uses cameras to capture images and algorithms to automatically determine spatial relationships, substituting the mechanical process of manual point-by-point calibration with an automated visual recognition system.
2Measurement precision
If manual calibration of spatial elements is performed, then the accuracy of scene layout can be improved, but the operational complexity increases
Solution Approach 1:
The system automatically performs spatial element calibration through image acquisition and three-dimensional layout recognition. The XR device autonomously captures environmental images, processes them through recognition algorithms, and generates spatial layout elements without requiring users to manually calibrate each element, thereby greatly simplifying the operation process.
Solution Approach 2:
The patent replaces complex manual calibration operations with automated image processing systems. Users simply need to capture images of the environment, and the system automatically performs spatial structure recognition and layout generation, eliminating the need for users to understand and execute complex manual calibration procedures.
3Reliability
If all spatial elements are re-calibrated when an error occurs, then the accuracy can be maintained, but the productivity decreases
Solution Approach 1:
The system processes and calibrates spatial elements independently through automatic image recognition. Each spatial element can be identified and adjusted separately based on image analysis, allowing localized corrections without requiring complete re-calibration of all elements, thus maintaining accuracy while improving efficiency when errors occur.
4Productivity
If automatic three-dimensional layout recognition is used, then the productivity of determining object layout is improved, but the measurement precision may be reduced compared to manual calibration
Solution Approach 1:
The patent employs advanced image processing and three-dimensional layout recognition algorithms that automatically analyze captured images to determine spatial relationships. This substitution of manual measurement with automated visual recognition systems maintains high productivity while achieving comparable or superior accuracy through consistent algorithmic processing.
Solution Approach 2:
The system creates accurate digital copies of the physical environment through image acquisition and three-dimensional reconstruction. By capturing multiple images and processing them through recognition algorithms, the system generates a precise virtual representation of the scene layout that can be used for XR applications without requiring manual measurement of each element.
Data Source
AI summary
In a method for adjusting spatial elements, an environmental picture is displayed. The environmental picture includes a picture obtained by image acquisition of a scene region by an extended reality (XR) device. A first spatial element generated by three-dimensional layout recognition of the scene region is displayed based on the environmental picture. The first spatial element represents a three-dimensional simulation structure of a scene object in the scene region. An adjusted spatial layout element is displayed based on an adjustment operation on the first spatial element. The adjustment operation adjusts the three-dimensional simulation structure of the scene object. The adjusted spatial layout element is used to generate a three-dimensional virtual environment corresponding to the scene region in an XR application.