Autonomic Camera Composition Guidance via Feedback Signals
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Solution Overview
Problem
In autonomic image capturing modes, digital cameras face challenges in ensuring proper composition of photos without a photographer, as subjects may stand in incorrect positions due to lack of guidance.
Innovation Solution
An image capturing method that configures a composition profile defining the desired picture elements, including objects and their positions, which uses sensors and analysis algorithms to determine if the image meets the profile, and generates indication signals to guide subjects into correct positions before capturing the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If autonomic image capturing is enabled without photographer guidance, then operation convenience is improved, but image composition quality deteriorates
Solution Approach 1:
The system continuously monitors image composition quality through automated analysis and provides real-time feedback to subjects via display screens or audio signals. This feedback loop enables subjects to self-adjust their positions and poses, allowing the camera to capture well-composed images autonomously without requiring a photographer's direct guidance.
Solution Approach 2:
The camera system performs self-evaluation of image composition by automatically analyzing captured frames against predefined composition criteria. The system independently determines whether composition requirements are met and triggers the shutter accordingly, enabling autonomous operation without external photographer intervention while maintaining composition quality standards.
2Manufacturing precision
If real-time image analysis is performed to check composition profile, then image composition quality is improved, but processing time increases
Solution Approach 1:
The system performs partial image analysis by focusing only on critical composition elements defined in the composition profile rather than analyzing the entire image in detail. This selective analysis approach reduces processing time while still ensuring that key composition requirements are met, balancing quality assurance with efficient processing.
Solution Approach 2:
The composition profile and evaluation criteria are pre-configured before image capture begins. By establishing the analysis framework in advance, the system can quickly evaluate incoming images against predetermined standards without requiring complex real-time decision-making, thereby reducing processing delays while maintaining composition quality control.
Data Source
AI summary
An image capturing method is provided, especially adaptable in a camera. First, a composition profile for a picture to be taken, is configured. The composition profile defines the number of objects to be included in the picture, and positions and sizes of each object. Thereafter, a sensor in the camera is enabled to receive an image, and simultaneously, it is determined whether the image satisfies the composition profile. If the image satisfies the composition profile, the image is stored to be the picture.