Augmented Reality Field of View Determination Without Camera Specs
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Solution Overview
Problem
The diversity of camera specifications in the market poses a challenge for augmented reality systems, which rely on understanding real-world surroundings through camera data, making it impractical to develop software compatible with various hardware configurations without detailed specifications from manufacturers.
Innovation Solution
The method determines a camera's field of view using a limited set of inputs, including camera feeds, recognizable real-world objects, and location information, allowing for the application of this field of view to a virtual world to accurately position virtual objects as augmentations, regardless of the camera's specifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a database with all camera specifications is maintained, then software compatibility across diverse cameras is improved, but the complexity and burden of keeping the database up to date increases significantly
Solution Approach 1:
The system enables cameras to self-identify their specifications by capturing images of known reference objects. The camera autonomously provides its own field of view information through the relationship between the reference object's actual size and its captured image size, eliminating the need for external database maintenance.
Solution Approach 2:
Instead of maintaining a comprehensive database of all camera specifications, the system creates a functional copy of the necessary specification data (field of view) by measuring it through reference object recognition. This measured data serves as a substitute for database lookup.
2Measurement precision
If detailed camera specifications are required for augmented reality functionality, then the precision of virtual object positioning is improved, but the ease of operation and accessibility to diverse cameras deteriorates
Solution Approach 1:
The system creates a functional copy of the field of view specification by measuring it through reference object recognition. This measured field of view data is then used to accurately position virtual objects without requiring direct access to the camera's proprietary specification sheets.
Solution Approach 2:
The system changes the approach from using manufacturer-provided specification parameters to using measured parameters derived from reference object recognition. This transforms the field of view from a static specification into a dynamically determined value based on actual camera performance.
Data Source
AI summary
A camera's field of view is determined using image data and location information. Accurate augmented reality representations are provided based on the determined field of view in an absence of a priori knowledge of the camera's field of view.