Face-Recognition Image Composition Across Separate Shots
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Solution Overview
Problem
Existing imaging devices face challenges in efficiently generating composite images that include all intended subjects, particularly when additional shutter chances occur during a series of photographing operations, leading to missed shots and the need for re-photographing if initial images are not satisfactory.
Innovation Solution
An imaging device equipped with face recognition processing and composition processing units that allow for superimposing individuals on the same background using images taken at different times, ensuring all subjects are included in a composite image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If continuous photographing operations are performed to capture multiple persons, then the composite image can be generated, but additional shutter chances may be missed and re-photographing is required
Solution Approach 1:
The system performs preliminary face recognition and background matching before final composite image generation. By pre-identifying faces and verifying background consistency across multiple shots, the system can confidently select appropriate images for composition without requiring complete re-photographing, thus improving operational ease while maintaining shot reliability
Solution Approach 2:
The system continuously monitors the photographing sequence and provides feedback by recognizing faces and comparing backgrounds in real-time. When a shutter chance is missed or an image is unsatisfactory, the system uses this feedback to automatically adjust the selection criteria and resume composition, ensuring reliable capture without requiring manual re-photographing
2Adaptability or versatility
If face recognition and composition processing are added to enable flexible composite image generation, then operability is improved, but device complexity increases
Solution Approach 1:
The face recognition processing unit and composition processing unit are designed to handle multiple functions: face detection, background matching, image selection, and composite generation. By making these units multi-functional, the system achieves high adaptability for various composite image scenarios without proportionally increasing device complexity
Solution Approach 2:
The patent combines face recognition and composition processing into an integrated workflow where the same processing units handle both tasks sequentially. The face recognition unit identifies faces across multiple images, and the composition unit uses this information to select and merge appropriate images, reducing overall system complexity compared to separate dedicated systems
Data Source
AI summary
There is provided an imaging device including: an image processing unit; a face recognition processing unit; a storage unit; and a composition processing unit for generating composite data by a composition process so that persons photographed in each of a plurality of image data are included in one image data. The face recognition processing unit recognizes a first person by performing a face recognition process on first image data. When second image data obtained by photographing a second person at the different photographing timing of the first image data, with the same background as the first image data, is recorded in the storage unit, the composition processing unit generates composite data in which the first person and the second person are superimposed on the same background.