Calibration-Free Motion Tracking for Augmented Reality
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Solution Overview
Problem
Existing augmented reality systems require calibration of device components, which is time-consuming, error-prone, and consumes computing resources, and also necessitate a delay in inserting virtual content due to the need for parallax observation.
Innovation Solution
A computer-implemented method for calibration-free instant motion tracking in augmented reality, where the system estimates the translation and rotation of an anchor region independently, using image frame comparisons and sensor data, allowing for immediate insertion of virtual content without calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration of device components is performed, then measurement precision is improved, but loss of time and device complexity increase
Solution Approach 1:
The system performs self-calibration by automatically establishing correspondence between motion sensor data and camera imagery through feature tracking and parallax observation during normal operation, eliminating the need for manual calibration procedures
Solution Approach 2:
The system performs preliminary calibration actions by continuously observing parallax and updating correspondence parameters in advance, so that accurate motion tracking is already established before virtual content insertion is needed
2Measurement precision
If calibration of device components is performed, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system performs self-calibration by automatically establishing correspondence between motion sensor data and camera imagery through feature tracking and parallax observation during normal operation, eliminating the need for manual calibration procedures
Solution Approach 2:
The system performs calibration continuously in the background during normal operation rather than requiring a separate calibration phase, so that calibration computations are distributed over time and do not create concentrated energy demands
3Measurement precision
If parallax observation is performed before virtual content insertion, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary parallax observation and three-dimensional mapping continuously in the background before virtual content insertion is needed, so that the spatial understanding is already established and virtual content can be inserted immediately when requested
Solution Approach 2:
The system performs parallax observation and mapping continuously rather than requiring a dedicated pre-processing phase, allowing virtual content insertion to occur without delay while maintaining accurate three-dimensional spatial understanding
Data Source
AI summary
The present disclosure provides systems and methods for calibration-free instant motion tracking useful, for example, for rending virtual content in augmented reality settings. In particular, a computing system can iteratively augment image frames that depict a scene to insert virtual content at an anchor region within the scene, including situations in which the anchor region moves relative to the scene. To do so, the computing system can estimate, for each of a number of sequential image frames: a rotation of an image capture system that captures the image frames; and a translation of the anchor region relative to an image capture system, thereby providing sufficient information to determine where and at what orientation to render the virtual content within the image frame.