Virtual Cues for AR Pose Alignment
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Solution Overview
Problem
In augmented-reality applications, capturing images while maintaining a consistent camera pose is challenging, leading to distorted videos or 'jumping' effects when poses change between frames, as users struggle to align the current pose with a predetermined pose without proper alignment cues.
Innovation Solution
The use of virtual cues, including visual and audio indicators, to aid users in aligning the current pose of an augmented-reality device with a predetermined pose, using world-locked and device-locked cues that change appearance based on alignment, providing feedback for precise alignment and enabling accurate image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users attempt to capture augmented-reality images without alignment cues, then the device can capture images freely, but the video appears distorted with jumping effects due to pose changes
Solution Approach 1:
The system implements feedback by displaying visual alignment cues (predetermined pose cue and current pose cue) that provide real-time information to the user about their alignment status. The cues change appearance based on alignment quality, giving continuous feedback that guides the user to achieve proper pose alignment, thereby resolving the contradiction between video stability and ease of operation.
Solution Approach 2:
The alignment cues act as an intermediary between the user and the pose alignment task. Instead of directly requiring users to understand complex pose parameters, the system introduces visual mediators (the cues) that translate pose information into intuitive visual representations, making alignment easier while ensuring video stability.
2Measurement precision
If the predetermined pose cue is fixed in world coordinates, then it accurately indicates the target pose position, but it moves relative to the display as the device moves
Solution Approach 1:
The system applies dynamics by rendering the predetermined pose cue at a fixed world coordinate position while allowing it to move relative to the display as the device moves. This dynamic rendering approach maintains accurate pose indication in the world frame while adapting to changing device positions, resolving the contradiction between measurement precision and device complexity.
3Measurement precision
If the current pose cue is locked to the device, then it accurately indicates the current pose, but it remains stationary on the display as the device moves
Solution Approach 1:
The current pose cue is rendered at the device's current position in world coordinates, creating a dynamic display position that updates as the device moves. This maintains accurate current pose indication while the cue naturally follows the device movement, resolving the contradiction through dynamic coordinate transformation.
4Ease of operation
If multiple alignment cues are displayed simultaneously, then users receive comprehensive feedback for alignment, but the interface becomes more complex
Solution Approach 1:
The system applies local quality by making the alignment cues change appearance based on alignment quality. Different visual characteristics are applied to the cues depending on whether the device is aligned or misaligned, providing comprehensive feedback while maintaining a relatively simple interface through context-dependent visual variations rather than multiple separate controls.
Data Source
AI summary
A method includes determining a current pose of an augmented reality device in a physical space, and visually presenting, via a display of the augmented reality device, an augmented-reality view of the physical space including a predetermined pose cue indicating a predetermined pose in the physical space and a current pose cue indicating the current pose in the physical space.