Virtual And Physical Camera Position Synchronization for Accurate Compositing
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Solution Overview
Problem
Existing technologies struggle to effectively synchronize and align virtual and physical cameras in computer-generated reality systems, leading to misalignment and poor integration of virtual and physical environments.
Innovation Solution
A system and method for positional synchronization of virtual and physical cameras, using techniques such as ultra-wideband ranging and computer vision to align virtual cameras with physical cameras, enabling precise composition of virtual and physical images in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional camera synchronization methods are used, then the system complexity is low, but the alignment precision between virtual and physical cameras is poor
Solution Approach 1:
The patent introduces an intermediary synchronization system that includes a master camera, slave cameras, and a computing device. The master camera captures reference images while slave cameras capture corresponding images, and the computing device processes these images to determine transformation parameters. This intermediary layer enables precise alignment between virtual and physical cameras without requiring direct complex integration, thus improving measurement precision while managing system complexity through modular architecture.
Solution Approach 2:
The patent replaces traditional mechanical alignment methods with computational image processing techniques. Instead of using physical adjustment mechanisms to align cameras, the system captures images from multiple cameras, processes them computationally to determine transformation parameters (rotation, translation, scaling), and applies these parameters to achieve precise alignment. This substitution of mechanical systems with computational methods improves alignment precision while reducing mechanical complexity.
2Manufacturing precision
If manual alignment methods are used, then the ease of operation is high, but the alignment accuracy and integration quality are poor
Solution Approach 1:
The patent implements a self-service alignment system where the synchronization process is automated through computational image processing. The system automatically captures images from master and slave cameras, processes these images to determine transformation parameters, and applies the parameters to align virtual and physical cameras without requiring manual intervention. This self-service approach maintains high ease of operation while dramatically improving integration quality through precise computational alignment.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously captures images from multiple cameras, processes them to determine current alignment status, and adjusts transformation parameters based on the processed information. This closed-loop feedback system ensures high integration quality by automatically correcting alignment deviations while maintaining ease of operation through automated control.
3Measurement precision
If multiple cameras are synchronized without proper transformation parameters, then the productivity is high, but the composition accuracy of virtual and physical images is poor
Solution Approach 1:
The patent segments the synchronization system into distinct functional components: master camera for reference imaging, slave cameras for corresponding imaging, and a computing device for processing. Each segment has a specific function, and the transformation parameters (rotation, translation, scaling) are calculated independently for each slave camera relative to the master camera. This segmentation enables accurate composition of multiple cameras while managing synchronization system complexity through modular functional division.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables seamless integration of virtual and physical environments by ensuring accurate alignment of virtual and physical camera positions, resulting in high-quality computer-generated reality recordings and viewports.
Implementation Method 1
determining a position of the second electronic device in the physical environment relative to the first electronic device
Implementation Method 2
an image capture device to capture images of the physical environment
Data Source
AI summary
A device for positional synchronization of virtual and physical cameras may include a processor configured to determine a first position of a physical camera relative to another electronic device in a physical environment. The processor may be configured to initiate positioning of a virtual camera in a second position within a computer-generated environment, wherein the second position relative to a representation of the person in the computer-generated environment coincides with the first position. The processor may be configured to receive an image frame captured by the physical camera and a virtual image frame generated by the virtual camera. The processor may be configured to generate a computer-generated reality image frame that includes at least a portion of the image frame composited with at least a portion of the virtual image frame.