Augmented Image Creation via Fiducial Mark Geometric Analysis
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Solution Overview
Problem
Current methods for creating photorealistic augmented images face challenges in matching the photographic properties of preexisting images, such as viewpoint, resolution, lighting, and white balance, especially when images are captured by different cameras or under varying conditions, limiting the ability to accurately combine 2D photographs with 3D models or virtual environments.
Innovation Solution
A software-based approach that utilizes geometric analysis and fiducial marks to quantify and match the photographic parameters of preexisting images, allowing for the adjustment of image properties to achieve photorealistic alignment, including algorithms to determine the object-centric viewpoint, image resolution, and vanishing points, enabling the precise positioning and calibration of images within a locale.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If images are captured by different cameras or under varying conditions, then the adaptability of the augmentation system is improved, but the matching precision of photographic properties deteriorates
Solution Approach 1:
The patent applies parameter changes by systematically adjusting multiple photographic parameters including viewpoint coordinates, resolution, lighting conditions, white balance, and camera optics to match between preexisting images. This allows the system to adapt to images captured under different conditions while maintaining photorealistic matching through coordinated transformation of these parameters.
Solution Approach 2:
The patent introduces an intermediary software-based processing system that acts as a mediator between images from different cameras. This intermediary system performs geometric analysis, fiducial mark detection, and parameter matching to bridge the gaps between different photographic conditions, enabling precise alignment without requiring identical capture equipment.
2Manufacturing precision
If geometric analysis and fiducial marks are used to quantify photographic parameters, then the manufacturing precision of augmented images is improved, but the device complexity increases
Solution Approach 1:
The patent applies preliminary action by incorporating fiducial marks into the preexisting images during the capture phase. These marks serve as pre-prepared reference elements that simplify subsequent geometric analysis and parameter quantification, enabling precise matching without requiring complex real-time processing during the augmentation phase.
Solution Approach 2:
The patent replaces mechanical/physical matching methods with software-based computational approaches. Instead of using physical alignment tools or manual measurement devices, the system uses software algorithms for geometric analysis, fiducial mark detection, and parameter calculation, reducing physical device complexity while maintaining or improving precision.
3Reliability
If multiple photographic properties are matched simultaneously, then the photorealistic quality of augmented images is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent applies segmentation by breaking down the complex task of matching multiple photographic properties into distinct, manageable components: viewpoint matching, resolution matching, lighting matching, white balance matching, and optics matching. Each component is processed separately through dedicated algorithms, making the overall complex measurement task more tractable and systematic.
Data Source
AI summary
Embodiments described herein provide a process and method running on a computer for creating an augmented image. According to an embodiment, a graphical user interface gathers data that is programmatically analyzed to obtain photographic properties from a first image. Photographic properties are provided to a user for obtaining a second image containing a fiducial mark. The second image is programmatically analyzed to obtain photographic properties. The first image and the second image are programmatically analyzed and processed to produce an augmented image.