Dynamic Exposure and ISO Adjustment for AR Visual Tracking Blur

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Solution Overview

Problem

Motion blur in visual tracking systems of AR/VR devices degrades tracking performance and requires higher computational operations, especially during fast camera movements, as existing systems do not effectively adjust exposure time and ISO to minimize blur while maintaining image quality.

Innovation Solution

A blur reduction module dynamically adjusts the exposure time and ISO of cameras based on real-time angular/linear acceleration, sampling angular/linear velocity to minimize motion blur while keeping overall brightness constant, thereby improving tracking accuracy and reducing computational resources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Illumination intensity

If exposure time is increased to maintain image brightness, then image quality is improved, but motion blur increases during fast camera movements

Engineering Contradiction:

Improveimage brightnessVSAvoidimage sharpness

Core Design Contradiction:

Illumination intensityVSManufacturing precision

Solution Approach 1:

The patent implements dynamic adjustment of exposure time and ISO based on real-time motion detection. The system continuously monitors camera movement and adaptively changes exposure parameters - reducing exposure time when motion is detected to prevent blur, and increasing ISO to compensate for reduced light intake, thereby maintaining image quality without motion blur

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes camera parameters (exposure time and ISO) based on motion conditions. When motion blur is detected or predicted, the system reduces exposure time and increases ISO value, dynamically optimizing the balance between brightness and sharpness based on current motion state

Inventive Principle:

Principle #35Parameter changes

2Reliability

If computational operations are increased to maintain tracking accuracy under high dynamics, then tracking performance is maintained, but power consumption and processing load increase

Engineering Contradiction:

Improvetracking accuracyVSAvoidcomputational power consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary motion detection and prediction before image capture. By detecting motion in advance and predicting potential blur conditions, the system proactively adjusts exposure parameters to prevent motion blur, eliminating the need for heavy post-processing computational operations to correct blurred images

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent converts the harmful effect of motion into useful information by detecting motion patterns and using them to proactively adjust camera parameters. Instead of treating motion blur as a problem requiring heavy computational correction, the system uses motion detection to preemptively optimize exposure settings, turning motion information into a benefit for maintaining image quality

Inventive Principle:

Principle #22Blessing in disguise (Convert harm into benefit)

Data Source

PatentUS11765457B2Dynamic adjustment of exposure and iso to limit motion blur

Publication Date: 2023.09.19 SNAP INC

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.