Multi-Head Display Configuration via Image Feedback
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Solution Overview
Problem
Configuring multi-head display systems is a complex task that requires manual effort and lacks real-time adaptability to changes in display arrangements, such as orientation or addition/removal of devices, affecting presentation quality and user experience.
Innovation Solution
A computer-implemented method and apparatus that automatically configures multi-head displays by generating a display map, learning rules to transform images, and adjusting render frames in real-time to match the display arrangement, using a cognitive multi-head manager to discover and calibrate display devices, and adapt to changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual configuration is used for multi-head display systems, then configuration precision can be achieved, but configuration time and complexity increase significantly
Solution Approach 1:
The system performs self-calibration by automatically capturing images of displayed content, detecting display boundaries and orientations, and computing transformation parameters without human intervention. The calibration process is autonomous, with the system serving itself to configure and adapt to multi-head display arrangements.
Solution Approach 2:
The system captures feedback images from the displayed content and uses these images to iteratively refine the display map and transformation rules. The captured images provide real-time feedback about the actual display configuration, enabling automatic adjustment and verification of the calibration results.
2Adaptability or versatility
If static configuration is used for multi-head display systems, then initial setup complexity is reduced, but adaptability to changes in display arrangement deteriorates
Solution Approach 1:
The system dynamically adapts to changes in display configuration by continuously monitoring for display additions, removals, or repositioning. When changes are detected, the system automatically recalibrates by recapturing images and recomputing the display map and transformation rules, maintaining adaptability without requiring manual reconfiguration.
Solution Approach 2:
The patent replaces manual mechanical configuration processes with automated image processing and computational methods. Instead of physically adjusting displays and manually configuring software, the system uses computer vision algorithms to detect display arrangements and automatically generates the appropriate configuration parameters.
3Productivity
If automatic configuration is implemented, then configuration time is reduced, but configuration precision and reliability may deteriorate
Solution Approach 1:
The system uses feedback from captured images to verify and refine the automatic configuration results. By comparing the detected display boundaries and orientations against the generated display map, the system can identify and correct errors, ensuring high reliability despite automation.
Solution Approach 2:
The patent introduces an intermediary calibration process that uses captured images as a mediator between the physical display arrangement and the software configuration. This intermediary step allows the system to accurately translate physical configurations into digital representations, maintaining precision through image-based verification.
Data Source
AI summary
A computer-implemented method includes a step of generating a clipped image by applying a display map to a feedback image of a plurality of display devices that display a set of training frames. The method also includes a step of learning a first set of rules that transform the clipped image to match the set of training frames and a step of generating a rendered surface by applying the display map to an input image. Additionally, the method includes a step of generating a set of render frames by applying the first set of rules to the rendered surface and a step of sending the set of render frames to be displayed by the plurality of display devices.