Geospatial Display Configuration via Fiducial Mark Detection
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Solution Overview
Problem
Configuring a virtual workspace or 'desktop' across multiple heterogeneous displays of different sizes, technologies, and locations is challenging for computing devices, as the location and configuration of the displays may be unknown to the operating system or configuration utility.
Innovation Solution
A geospatial display configuration system that uses a camera to capture images of the room, identifies fiducial marks on each display, creates a three-dimensional model of the space, and establishes relationships between displays to determine a proper pointing device path across all displays, allowing for a unified and optimized virtual desktop configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple heterogeneous displays are used to create a virtual workspace, then the functionality and versatility of the system is improved, but the complexity of configuring and managing the workspace increases
Solution Approach 1:
The system automatically detects display devices, determines their spatial relationships, and configures the virtual workspace without requiring manual user input. The processor autonomously identifies fiducial marks on displays, captures images with a camera, creates three-dimensional models, and establishes geospatial relationships to generate the configuration, eliminating the need for complex manual setup procedures.
Solution Approach 2:
The patent replaces manual mechanical configuration processes with automated computational methods. Instead of physically measuring and manually configuring displays, the system uses image processing, three-dimensional modeling, and automated geospatial relationship calculation to determine display positions and create the virtual workspace configuration automatically.
2Adaptability or versatility
If displays are arranged in non-uniform locations with different sizes and technologies, then the adaptability of the system is improved, but the difficulty of detecting and measuring display relationships increases
Solution Approach 1:
The system handles diverse display parameters (different sizes, technologies, locations) by capturing images at multiple positions and angles, then processing these varied parameters through three-dimensional modeling. The geospatial relationship calculation automatically adapts to different display configurations by mathematical transformation, converting diverse physical parameters into a unified virtual coordinate system.
Solution Approach 2:
The patent introduces fiducial marks as intermediary reference points on each display device. These standardized markers serve as mediators between the physical display characteristics and the virtual workspace model, enabling reliable detection and measurement of display relationships regardless of the specific display technology or arrangement by providing common reference frames for calculation.
3Ease of operation
If the operating system does not know the location and configuration of displays, then the ease of operation is maintained, but the precision of mouse path identification deteriorates
Solution Approach 1:
The system performs preliminary automated detection and configuration before the user begins working. By pre-identifying display locations, sizes, and spatial relationships through image capture and three-dimensional modeling, the system prepares accurate geospatial data in advance. This preliminary action ensures that when the user operates the system, the mouse path identification is already optimized for precision without requiring manual configuration.
Data Source
AI summary
In an example implementation according to aspects of the present disclosure, a system comprising a camera, a plurality of displays and a processor. The processor receives a series of images, from the camera, corresponding to a physical environment, wherein the series of images include the plurality of displays. The processor identifies a fiducial mark within the series of images corresponding to a display. The processor determines a three-dimensional space based on a camera position based on the series of images. The processor determines a location within the three-dimensional space corresponding to the one of the plurality of displays. The processor creates a geospatial relationship between the location and the camera within the three-dimensional space. The processor correlates the geospatial relationship to a display configuration screen. The processor creates a pointing device path in the display configuration screen corresponding to the geospatial relationship.