Image Processing Device Adaptive Exposure for Facial Recognition

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Solution Overview

Problem

Existing image processing systems face challenges in accurately performing facial recognition across varying brightness conditions, as high brightness and low brightness areas can lead to incorrect recognition due to significant differences in brightness levels.

Innovation Solution

An image processing device that dynamically adjusts exposure conditions by setting a first exposure condition and an additional exposure condition based on the brightness distribution of captured images, allowing for alternating or sequential imaging to optimize image capture and reduce brightness-related errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a single exposure value is used for imaging, then the imaging process is simple and fast, but the brightness distribution becomes unbalanced leading to face detection omissions in high or low brightness areas

Engineering Contradiction:
Improveface detection accuracyVSAvoidexposure condition complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies dynamics by making the exposure condition adjustable and adaptive rather than fixed. The imaging system dynamically switches between a first exposure condition (first exposure value) and a second exposure condition (second exposure value higher than the first) based on the detected brightness distribution of the imaging area. This allows the system to adapt to varying lighting conditions and maintain reliable face detection across different brightness levels.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the exposure value parameter to resolve brightness distribution issues. By setting at least two different exposure values (first exposure value and second exposure value higher than the first) and switching between corresponding exposure conditions based on detected brightness distribution, the system optimizes image capture for both high brightness and low brightness areas, thereby improving face detection accuracy.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If multiple exposure conditions are always used, then face detection accuracy improves across different brightness levels, but the imaging process becomes more complex and time-consuming

Engineering Contradiction:
Improveface detection accuracyVSAvoidimaging speed
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system dynamically determines whether to use one or two exposure conditions based on the detected brightness distribution. When the brightness distribution indicates that a single exposure value suffices, the system uses only the first exposure condition, maintaining high imaging speed. When the brightness distribution shows significant variations requiring multiple exposure values, the system switches to using both first and second exposure conditions, thereby balancing productivity and reliability.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the exposure value parameter adaptively based on brightness distribution analysis. The system sets a first exposure value for normal conditions and a second exposure value (higher than the first) for conditions requiring enhanced brightness capture. By conditionally switching between these parameter settings, the system maintains high imaging speed while ensuring accurate face detection across varying lighting conditions.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11297254B2Image processing device, image processing method, and non-transitory recording medium
Publication Date: 2022.04.05 CASIO COMPUTER CO LTD
  • US11297254B2 patent drawing
  • US11297254B2 patent drawing
  • US11297254B2 patent drawing

AI summary

An image processing device includes a memory storing a program, and at least one processor that executes the program. The processor sets an exposure condition for video imaging, acquires an image of the video imaged under the exposure condition, and calculates a brightness distribution from the image. The exposure condition includes a first exposure condition for causing the imaging device to capture an image using a first exposure value, and a second exposure condition causing the imaging device to capture an image using an exposure value higher than the first exposure condition and/or causing the imaging device to capture an image using a lower exposure value than the first exposure condition. The processor sets the first exposure condition or sets the first and the second exposure condition, based on the brightness distribution of the image captured under the first exposure condition after the first exposure condition is set.