Head-Mounted Display Camera Calibration Under Heat and Vibration
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Solution Overview
Problem
Existing head-mounted displays face challenges in maintaining calibration accuracy due to time-dependent changes caused by factors like heat generation, vibration, or shock, leading to degraded information acquisition and user burden in manual calibration processes.
Innovation Solution
An information processing apparatus and method that includes an image correction section, state estimation section, and calibration section to automatically correct camera images, guide feature point extraction, and update correction parameters, reducing the need for manual calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If rigorous camera calibration is performed before shipment, then initial calibration accuracy is improved, but calibration accuracy degrades over time due to heat generation, vibration, and shock during operation
Solution Approach 1:
The system performs preliminary calibration before shipment to establish initial accuracy, then automatically performs additional calibration during operation when environmental changes (heat, vibration, shock) cause degradation. This multi-stage approach ensures both initial precision and long-term stability.
Solution Approach 2:
The system uses feedback from the head-mounted display's sensors and performance monitoring to detect when calibration accuracy has degraded due to environmental factors, then automatically triggers recalibration to restore accuracy. This closed-loop feedback mechanism maintains calibration stability over time.
2Measurement precision
If automatic calibration is implemented to maintain accuracy, then calibration precision is improved, but user burden increases due to complexity of calibration processes
Solution Approach 1:
The head-mounted display performs calibration automatically using its own built-in cameras and sensors without requiring external equipment or complex user operations. The system self-calibrates by capturing images of the environment and processing them through image correction sections and state estimation algorithms.
Solution Approach 2:
The patent replaces manual mechanical calibration procedures with automated image processing and computational algorithms. Instead of requiring users to physically adjust components or follow complex manual calibration routines, the system uses software-based image correction and feature point extraction to achieve calibration.
3Measurement precision
If manual calibration is required to maintain accuracy, then calibration precision can be maintained, but time consumption increases and user burden increases
Solution Approach 1:
The system performs calibration continuously or periodically during normal operation rather than requiring separate manual calibration sessions. The image correction section and calibration section operate continuously to maintain accuracy, eliminating downtime and reducing total time loss.
Solution Approach 2:
The head-mounted display automatically performs calibration without user intervention, eliminating the time users would spend on manual calibration procedures. The system uses its own resources (cameras, processors) to conduct calibration autonomously.
4Measurement precision
If frequent calibration is performed to maintain accuracy, then calibration precision is improved, but device complexity increases
Solution Approach 1:
The head-mounted display's existing components (cameras, processors, display screens) are used for multiple purposes including both normal operation and calibration functions. The image correction section, state estimation section, and calibration section leverage existing hardware resources, avoiding the need for dedicated calibration equipment and reducing overall system complexity.
Solution Approach 2:
The calibration functions are merged with the normal operational functions of the head-mounted display. The same image processing algorithms and hardware components used for displaying content are also used for calibration, consolidating the system rather than adding separate calibration subsystems.
Data Source
AI summary
Disclosed herein is an information processing apparatus including an image correction section that corrects a camera image captured by a camera of a head-mounted display, a state estimation section that estimates a state of an actual physical body with use of the corrected camera image, and a calibration section that causes the head-mounted display to display a guide image that represents an extraction situation of feature points from the camera image, the feature points being necessary for calibration of the camera, collects data of the feature points, performs calibration, and updates a correction parameter used by the image correction section.


