Augmented Image Creation Using Fiducial Mark Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for creating photorealistic augmented images struggle to accurately match 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 their commercial and design applications.
Innovation Solution
A software-based approach that utilizes geometric analysis and fiducial marks to quantify and match the photographic parameters of images, allowing for the adjustment of image properties to achieve photorealistic augmentation by determining the object-centric viewpoint, resolution, and vanishing points, and calibrating locale images to match object images.
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 image augmentation is improved, but the manufacturing precision of matching photographic properties deteriorates
Solution Approach 1:
The patent transforms qualitative photographic properties into quantifiable parameters through fiducial marks. By embedding known geometric patterns (fiducial marks) in the scene, the system can precisely measure viewpoint position, orientation, resolution, and scale as numerical values. This parameter transformation enables automated adjustment of images from different cameras to match these quantified properties, resolving the contradiction between adaptability and precision.
Solution Approach 2:
The patent replaces manual, subjective assessment of photographic properties with automated computer-based analysis. Software algorithms automatically detect fiducial marks, calculate viewpoint parameters, and adjust image properties without human intervention. This substitution of mechanical/manual processes with automated computational methods enables precise matching of photographic properties across diverse imaging conditions.
2Device complexity
If manual methods are used to match photographic properties, then the device complexity is reduced, but the productivity of image augmentation deteriorates
Solution Approach 1:
The patent incorporates fiducial marks into the scene during the initial image capture phase. These pre-placed markers enable automated systems to quickly extract viewpoint and scale information without complex real-time analysis. By performing the measurement function in advance through the embedded fiducial marks, the system achieves high productivity while maintaining relatively simple device complexity.
Solution Approach 2:
The fiducial marks serve as self-contained reference elements that automatically provide the information needed for viewpoint and scale matching. The marks themselves encode the geometric information required for calibration, eliminating the need for external measurement devices or complex computational photography techniques. This self-service approach enables efficient automated processing with minimal system complexity.
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.