Camera Operating Parameter Determination via Evaluation Image Comparison
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Solution Overview
Problem
Current camera systems rely on assumptions or eye gaze monitoring, which may not accurately determine the area of importance in a scene, leading to erroneous image capture settings and operating parameters, and are often costly and require calibration.
Innovation Solution
A method and system that capture evaluation images during composition, compare them to identify common elements, and determine an area of importance to adjust image capture settings and operating parameters accordingly, without the need for eye monitoring systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If eye gaze monitoring systems are used to determine area of importance, then the camera can automatically identify important elements, but the system becomes more complex and costly
Solution Approach 1:
The patent extracts the eye gaze monitoring function from the camera system and replaces it with a simpler evaluation image comparison method. By taking out the complex eye tracking hardware and using only standard image processing techniques, the system achieves area of importance determination without the added complexity of eye monitoring systems.
Solution Approach 2:
The patent creates evaluation images as simplified copies or representations of the scene during composition. These evaluation images are processed to identify common elements and determine area of importance, serving as a copy of the scene analysis function that avoids the need for complex eye monitoring hardware while maintaining accuracy.
2Extent of automation
If eye gaze monitoring equipment is added to determine area of importance, then image capture settings can be automatically adjusted, but calibration is required and costs increase
Solution Approach 1:
The system performs self-service by automatically comparing evaluation images to determine area of importance without requiring external calibration equipment or manual calibration procedures. The evaluation image comparison method inherently adapts to the scene and photographer intentions, eliminating the need for calibration while maintaining automated setting adjustment capabilities.
3Measurement precision
If evaluation images are captured and compared during composition, then accurate area of importance can be determined, but processing time increases
Solution Approach 1:
The patent applies partial action by comparing only the necessary portions of evaluation images to identify common elements and determine area of importance. Rather than processing every pixel and detail, the system focuses on identifying key common elements across evaluation images, which reduces processing time while maintaining accurate area of importance determination.
Data Source
AI summary
Methods are provided for determining an operating parameter for an image system. Evaluation images are obtained during composition of an archival image and the evaluation images are stored. The evaluation images are compared to determine common image elements and an area of importance is determined based at least in part upon some of the common image elements. An operating parameter is determined based upon analysis of the area of importance. Imaging systems that perform the methods are also provided.