Virtual Camera Calibration Using Spatial Controller Mapping
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Solution Overview
Problem
Existing virtual camera calibration methods require repeated adjustments of a head-mounted display device, leading to inefficiencies and poor user experience due to inaccuracies in orientation angle calibration.
Innovation Solution
A method and apparatus that utilize a target object model displayed through a head-mounted display device, aligning the contact plane of an operation controller with a physical camera's contact plane to indicate an overlapping state, allowing calibration based on spatial information of the operation controller, including target position and orientation angles, without additional calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional trigonometric function calculation is used to calculate deflection angle for virtual camera calibration, then calibration can be performed, but accuracy is insufficient requiring repeated adjustments which reduces efficiency
Solution Approach 1:
The patent replaces the traditional trigonometric calculation method with a direct spatial coordinate mapping approach. Instead of calculating deflection angles through trigonometric functions, the system directly maps the physical camera's spatial coordinates (position and orientation) to the virtual camera parameters, eliminating the need for complex angle calculations and achieving higher precision in one step.
Solution Approach 2:
The patent introduces a spatial coordinate system as an intermediary between the physical camera and virtual camera. By establishing a unified spatial reference frame, the system enables direct parameter mapping without requiring iterative angle calculations, thus improving both accuracy and efficiency simultaneously.
2Measurement precision
If repeated adjustments of head-mounted display device are performed to improve orientation angle accuracy, then calibration precision improves, but calibration time increases significantly
Solution Approach 1:
The patent performs preliminary establishment of the spatial coordinate system and direct parameter mapping relationships before actual calibration is needed. This preliminary setup enables one-step calibration without requiring repeated adjustments during the calibration process, significantly reducing calibration time while maintaining high accuracy.
3Measurement precision
If traditional calibration method requiring multiple adjustments is used, then some level of accuracy is achieved, but user experience deteriorates due to repeated wear and removal of head-mounted display
Solution Approach 1:
The patent replaces the iterative mechanical adjustment process with a direct computational mapping approach. By using spatial coordinate transformation instead of repeated trial-and-adjustment cycles, the system achieves accurate calibration in a single operation, eliminating the need for users to repeatedly wear and remove the head-mounted display device.
Data Source
AI summary
In a virtual camera calibration method, a target object model of a physical camera device is obtained. The physical camera device includes a camera and a contact plane. The target object model with an operation controller is output for display through a head-mounted display device. The contact plane of the target object model and a contact plane of the operation controller are in an attached state. A camera position of the target object model corresponds to a camera position of the physical camera device. An indication that a camera of the target object model and the camera of the physical camera device are in an overlapping state is output for display. A virtual camera is calibrated based on spatial information of the operation controller and a spatial calibration operation for the virtual camera. The spatial information includes target position information and a target orientation.