Image Selection Device Using Blink Detection for Group Photos
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Solution Overview
Problem
Existing image selection systems for digital cameras, which rely on determining whether all individuals in a group photo have their eyes open, often fail to select a suitable image due to complexity and inaccuracies in eye detection, especially in group settings where not all individuals may have open eyes.
Innovation Solution
An image selection device and method that includes a face detector, eye detector, blink detector, and image selecting unit, which detect human faces, calculate estimated blink values, and select images based on the status of eyes being open or closed, using a threshold calculation module to ensure a suitable image is chosen even in group photos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If image selection is based on determining whether all people in the group have their eyes open, then the selection criterion is simple, but no suitable photo can be selected when not all people have their eyes open
Solution Approach 1:
The patent applies partial action by relaxing the selection criterion from requiring all eyes to be open to requiring only a predetermined number of eyes to be open. This allows the system to select suitable photos even when not all subjects have their eyes open, thereby improving the selection rate while maintaining operational simplicity.
2Quantity of substance
If the number of images increases through rapid shooting, then more images are available for selection, but the operation complexity increases for the user
Solution Approach 1:
The patent implements self-service by enabling the system to automatically select images based on eye detection algorithms without requiring manual user intervention. The system autonomously evaluates multiple captured images and selects those meeting the predetermined criteria, thereby handling the increased image quantity without increasing user operational complexity.
3Extent of automation
If eye detection is used to determine suitable group photos, then the selection becomes automated, but detection inaccuracies occur in group settings
Solution Approach 1:
The patent applies partial action by requiring detection of only a predetermined number of open eyes rather than all eyes in the group. This relaxed criterion improves detection robustness in group settings where complete eye detection is challenging, while still maintaining meaningful automation for selecting suitable photos.
4Manufacturing precision
If a strict criterion requiring all eyes open is used, then the selection standard is clear, but no image can be selected in many practical scenarios
Solution Approach 1:
The patent resolves this contradiction by changing the selection standard from requiring all eyes to be open to requiring only a predetermined number of eyes to be open. This partial requirement maintains sufficient selection precision while dramatically improving the success rate in practical scenarios where not all subjects can keep their eyes open.
Data Source
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AI summary
An image selection device including: a reception unit that receives a plurality of captured images obtained by rapid shooting one or more people as subjects; a face detection unit that detects human faces included in the captured images received by the reception unit; an eye detection unit that detects eyes in the human faces detected by the face detection unit; a blink detection unit that detects blink degrees of each of the eyes detected by the eye detection unit; an estimation unit that estimates statuses of the human faces based on the blink degrees detected by the blink detection unit; and a selecting unit that selects at least one of the captured images to be recorded on a recording medium from among the captured images received by the reception unit, based on the statuses of the human faces estimated by the estimation unit.