Digital Camera Feature Extraction for Focus and Exposure
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional digital cameras with subject identification functions require complex action sequences that are not user-friendly, making them difficult to operate effectively for focus and exposure adjustments during photography.
Innovation Solution
A digital camera system that includes an imaging device, storage devices for image data, a feature extraction device, and computation devices for exposure and distance measurement, which allow for quick and efficient extraction of subject features and adjustments to focus and exposure settings, minimizing the need for frequent lens movements and ensuring proper focus and exposure without overexposure or underexposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subject identification function is implemented in digital camera, then identification accuracy is improved, but device complexity increases
Solution Approach 1:
The camera system divides the identification process into separate functional modules: imaging device for capturing images, feature extraction device for analyzing facial features, first storage device for temporary image storage, and second storage device for storing extracted features. This segmentation allows each component to perform its specific function efficiently, improving identification accuracy while managing device complexity through modular architecture
Solution Approach 2:
The patent introduces a feature extraction device as an intermediary component between the imaging device and the storage devices. This intermediary processes raw image data to extract meaningful facial features, acting as a bridge that transforms complex image data into simplified feature representations, thereby improving identification accuracy without proportionally increasing overall system complexity
2Speed
If feature extraction is performed on live image data, then identification speed is improved, but processing accuracy deteriorates due to storage updates
Solution Approach 1:
The system performs preliminary action by first storing captured image data in the first storage device before feature extraction occurs. This preliminary storage step ensures that the image data is preserved and stable, providing a reliable basis for subsequent feature extraction. The separation of storage timing from extraction timing allows the extraction process to work on consistent data, improving accuracy while maintaining speed
Solution Approach 2:
The patent segments the data flow into two distinct storage paths: first storage device for raw image data and second storage device for extracted features. This segmentation allows independent optimization of each storage operation, enabling fast image capture and storage while performing feature extraction on stable, stored data without interference from ongoing storage updates
3Manufacturing precision
If full-resolution image data is stored, then image quality is improved, but processing time increases
Solution Approach 1:
The feature extraction device extracts only the essential facial features from the full-resolution image data stored in the first storage device. By taking out only the relevant feature information (such as facial landmarks, distances, and proportions) rather than processing the entire high-resolution image, the system maintains image quality for storage purposes while significantly reducing the time required for identification processing
4Measurement precision
If focus adjustment is performed frequently, then focus accuracy is improved, but user comfort deteriorates due to lens movements
Solution Approach 1:
The system implements feedback by continuously monitoring the extracted facial features and determining when focus adjustment is actually needed. Rather than frequently adjusting focus, the system uses the extracted feature data to provide feedback on whether the current focus is adequate, adjusting only when necessary. This feedback-based approach maintains focus accuracy while minimizing unnecessary lens movements that would discomfort the user
Data Source
AI summary
This invention includes an imaging device that photographs a subject image, a first storage device that stores image data output from the imaging device at a first time interval, a display device that reads the image data stored in the first storage device at the first time interval and display the image data, a second storage device that reads the image data stored in the first storage device at a second time interval and stores the image data and a feature extraction device that extracts a feature section of the subject based upon the image data stored in the second storage device. Therefore, image data output from the imaging device for an image display is once stored in the second storage device and the feature section is extracted from the stored image data, so an extraction is not affected by an update of the first storage device.


