Exposure Control Using Foreground Object Detection
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Solution Overview
Problem
Conventional exposure control methods in photography often inaccurately adjust exposure settings due to misidentification of moving dark or bright objects, leading to unstable brightness and poor image quality.
Innovation Solution
An exposure control method that uses object detection to differentiate between foreground and background objects, adjusting exposure settings based on the significance of the foreground object's area, ensuring proper brightness analysis and stabilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional exposure control analyzes brightness of the entire image, then exposure settings are adjusted automatically, but brightness stability deteriorates when dark or bright objects move through the scene
Solution Approach 1:
The patent segments the image into foreground objects and background regions. By detecting and isolating foreground objects through object recognition, the system separates their brightness influence from the background brightness analysis, preventing moving dark or bright objects from causing erroneous exposure adjustments.
Solution Approach 2:
The patent extracts foreground objects from the overall image scene and excludes them from the brightness analysis used for exposure control. This extraction removes the harmful influence of moving objects with extreme brightness values, allowing the system to base exposure decisions solely on the stable background illumination.
2Adaptability or versatility
If exposure settings are adjusted frequently to adapt to changing scenes, then adaptability improves, but brightness stability worsens due to unnecessary adjustments caused by moving objects
Solution Approach 1:
By segmenting the scene into foreground and background components, the system maintains adaptability to genuine lighting changes in the background while filtering out spurious brightness variations caused by moving foreground objects, thus preserving brightness stability.
Solution Approach 2:
The patent introduces object detection and classification as an intermediary step between image capture and exposure adjustment. This intermediary layer filters out false brightness signals from moving objects, allowing the exposure control to adapt only to legitimate lighting changes.
Data Source
AI summary
An exposure control method adjusts an exposure setting used for capturing an image including a foreground object and a background. The foreground object is extracted from the image by an object detection procedure. If the area of the foreground object is greater than a predetermined area value, the brightness of both the foreground object and the background is analyzed. On the contrary, if the area of the foreground object is not greater than the predetermined area value, only the brightness of the background is analyzed. The exposure setting is adjusted according to the analysis result. Accordingly, greater brightness stability is provided during the capture of the following images.