Camera Personalized Image Processing via Face Recognition
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Solution Overview
Problem
Current digital cameras do not provide image processing customized according to the personal preferences of the subjects in captured images, requiring manual adjustments by the photographer or post-processing by the subject, which is time-consuming and inconvenient.
Innovation Solution
A digital camera system that captures images, identifies individuals in the scene using face recognition, retrieves and applies personalized image processing preferences stored in a profile database associated with each person, and processes the images accordingly, allowing for customized output based on individual preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the photographer manually adjusts camera settings according to the subject's preferences, then the subject's satisfaction with the image is improved, but the time required to capture the image increases and the operation becomes more complex
Solution Approach 1:
The system stores image processing preferences for multiple persons in advance in a database. When a person is detected in the captured image, the system automatically retrieves and applies the pre-stored preferences, eliminating the need for real-time manual adjustment and thus reducing the time to capture the image while maintaining personalized processing quality
Solution Approach 2:
The system enables automatic application of personalized image processing settings by detecting the subject and self-selecting the appropriate preferences from the database. This self-service mechanism eliminates the need for photographer intervention, thereby reducing operational time and complexity while ensuring the subject's preferences are met
2Manufacturing precision
If the photographer or subject manually edits the image after capture, then the image can be customized according to the subject's preferences, but the overall process becomes more complex and time-consuming
Solution Approach 1:
The system pre-stores the desired image processing preferences in a database before the photographing session. This preliminary preparation allows the system to automatically apply the correct settings during image capture, eliminating the need for subsequent manual editing and thereby simplifying the overall workflow while maintaining personalized processing quality
Solution Approach 2:
The system automatically retrieves and applies the appropriate image processing preferences by detecting the subject and matching them with stored profiles. This automated self-service approach eliminates manual editing steps, reducing workflow complexity while ensuring the subject's preferences are precisely met
3Adaptability or versatility
If personalized image processing is implemented for each identified person, then the subject's satisfaction and individualization are improved, but the device complexity and processing time increase
Solution Approach 1:
The system uses a unified database structure and automated detection mechanism that handles multiple persons simultaneously. The same core infrastructure supports personalized processing for any number of subjects, providing high adaptability without proportionally increasing system complexity
Solution Approach 2:
The system automatically detects persons in the image, retrieves their preferences from the database, and applies the appropriate processing settings without requiring manual configuration. This self-service automation handles the complexity internally, allowing high personalization capability to be achieved without increasing the apparent system complexity to the user
Data Source
AI summary
A digital camera system that implements a method for providing image processing customized according to an identified person. The method includes: capturing an input digital image of a scene; identifying at least one particular person in the input digital image by analyzing signals received from an electronic device associated with the particular person; retrieving image processing preferences, wherein the retrieved image processing preferences are associated with one of the identified particular persons; processing the input digital image to form a modified digital image according to retrieved image processing preferences; and storing the modified digital image in a storage memory.