Dual Feature Detection for Accurate Subject Recognition
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Solution Overview
Problem
Conventional image capture devices have limitations in accurately sensing the user's target subject, and there is no clear method to enhance this sensing ability.
Innovation Solution
An image capture device is designed with dual feature detection systems: a face detecting section that identifies patterns and a feature color detecting section that uses color information, with a controller determining which system to use based on the specified position, allowing for more accurate subject recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single feature detection method is used, then the device complexity is low, but the measurement precision of target subject sensing is insufficient
Solution Approach 1:
The detection system is segmented into multiple specialized detection sections (face detection section, color detection section, natural feature detection section), each responsible for detecting specific types of features using different methods. This segmentation allows each section to optimize for its specific detection task, improving overall measurement precision while managing complexity through functional division
Solution Approach 2:
The controller integrates multiple detection methods into a single unified system that can selectively activate different detection sections based on the imaging situation. This multi-functionality allows the system to adapt to various targets (faces, colored objects, natural features) without requiring separate dedicated systems, balancing measurement precision with device complexity
2Reliability
If multiple feature detection methods are used, then the target subject sensing accuracy is improved, but the device complexity increases
Solution Approach 1:
The system dynamically selects which detection section to activate based on real-time imaging situations and user operations. The controller adjusts the detection method in response to changing conditions (e.g., switching between face detection and color detection based on whether a face is present or based on user interface selections), improving reliability without requiring all detection methods to operate simultaneously, thus managing complexity
Solution Approach 2:
The detection system automatically determines the most appropriate detection method based on the current imaging situation without requiring manual configuration. The controller analyzes the image data and autonomously selects which detection section to use, or allows user input through the interface section to guide the selection, making the system self-adjusting and reducing the operational complexity
3Measurement precision
If automatic detection is used, then the ease of operation is high, but the measurement precision of target identification is limited
Solution Approach 1:
The system provides feedback to the user through the interface section, displaying detected features and allowing user confirmation or correction of the automatic detection results. This feedback loop enables the system to maintain high measurement precision by incorporating user input when needed, while preserving ease of operation through automatic detection when user interaction is not required
Solution Approach 2:
The system performs preliminary automatic detection to identify potential targets before requiring user input. By pre-processing the image data and identifying obvious features (such as faces or clearly defined colored regions), the system reduces the burden on the user while maintaining accuracy, only requiring user interaction when the automatic detection is ambiguous or when the user wants to specify a particular target
Data Source
AI summary
The present invention provides a highly flexible shooting environment by letting the user shoot any subject he or she likes.The image capture device of this invention includes: an image capturing section, which receives light coming from a subject and generates a signal representing an image of the subject; a first detecting section for detecting a feature in the image by a first predetermined method; a second detecting section for detecting a feature in the image by a second method, which is different from the first method; an interface section for accepting an operation specifying a position on the image; and a controller for determining, according to a relationship between a location of the feature detected by the first detecting section and the position specified for the interface section at a point in time when the interface section accepts the operation, which of the first and second detecting sections should be used to detect a feature in a forthcoming image to be generated from that point in time on.