Camera Exposure and ISO Adjustment to Limit Motion Blur
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Solution Overview
Problem
Motion blur in visual tracking systems of AR/VR devices results in degraded tracking performance and increased computational operations due to high dynamics, especially when the camera moves fast.
Innovation Solution
A blur reduction module dynamically adjusts exposure time and ISO of the camera based on the camera's motion to minimize blur while maintaining image quality, using inertial sensor data to estimate angular/linear velocity and adjust camera settings accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the camera moves fast to capture dynamic scenes, then the field of view coverage is improved, but motion blur increases and tracking performance degrades
Solution Approach 1:
The patent applies dynamics by making the exposure time and ISO settings adjustable and adaptive rather than fixed. The system dynamically changes camera parameters based on real-time motion detection, allowing the exposure time to be shortened and ISO to be increased when motion is detected, thereby reducing motion blur while maintaining tracking accuracy during fast camera movements
Solution Approach 2:
The patent implements parameter changes by modifying camera settings (exposure time and ISO) based on motion conditions. When motion blur is detected or anticipated, the system changes the exposure time parameter to a shorter duration and adjusts the ISO parameter to a higher value, directly addressing the contradiction between fast movement and tracking precision
2Illumination intensity
If the exposure time is increased to improve image quality, then the image brightness is improved, but motion blur increases when the camera moves
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting exposure time and ISO based on motion conditions. When motion is detected, the exposure time is reduced and ISO is increased, allowing the system to maintain image brightness through higher ISO sensitivity while avoiding motion blur through shorter exposure duration
Solution Approach 2:
The system uses feedback by continuously monitoring motion parameters and image quality metrics, then adjusting exposure time and ISO settings in response. This closed-loop control ensures that image brightness is maintained through ISO adjustment while motion blur is prevented through exposure time reduction when motion is detected
3Measurement precision
If computational operations are increased to maintain tracking accuracy under high dynamics, then the tracking accuracy is maintained, but power consumption increases
Solution Approach 1:
The patent applies preliminary action by detecting motion parameters in advance and proactively adjusting camera settings before motion blur degrades image quality. By anticipating motion conditions and pre-adjusting exposure time and ISO, the system maintains tracking accuracy without needing extensive computational correction, thereby reducing power consumption
Solution Approach 2:
The system converts the harmful effect of motion into a beneficial signal by using motion detection to trigger adaptive parameter adjustment. Rather than treating motion as a problem requiring heavy computational correction, the system uses motion information to proactively optimize camera settings, maintaining tracking accuracy with minimal computational overhead and power consumption
Data Source
AI summary
A method for limiting motion blur in a visual tracking system is described. In one aspect, the method includes accessing a first image generated by an optical sensor of the visual tracking system, identifying camera operating parameters of the optical sensor for the first image, determining a motion of the optical sensor for the first image, determining a motion blur level of the first image based on the camera operating parameters of the optical sensor and the motion of the optical sensor, and adjusting the camera operating parameters of the optical sensor based on the motion blur level.