AR Anchor Image Alignment for Moving Video
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Solution Overview
Problem
Current augmented reality (AR) systems struggle to effectively generate and align AR imagery with moving images, failing to provide seamless spatial and temporal integration.
Innovation Solution
The proposed system utilizes an AR device with processing hardware, input and output units, and sensors to detect anchor images within moving images. These anchor images serve as 2D templates for overlaying or extending AR effects, which are then spatially and temporally aligned with the moving images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AR systems use conventional alignment methods for static elements, then implementation is simple and common, but they fail to achieve proper alignment with moving images both spatially and temporally
Solution Approach 1:
The system performs preliminary detection of anchor images within the moving image sequence and pre-processes temporal synchronization data before AR rendering. By detecting anchor images in advance and preparing transformation matrices beforehand, the system achieves precise spatio-temporal alignment without adding significant runtime complexity.
Solution Approach 2:
The system introduces anchor images as intermediary elements that serve as reference points between the moving video content and the AR overlay. These anchor images act as mediators that enable the AR system to track and align with dynamic content, bridging the gap between static AR alignment methods and moving image requirements.
2Reliability
If AR systems attempt to align with moving images, then spatial and temporal alignment is achieved, but the complexity of detection and measurement increases
Solution Approach 1:
The system performs preliminary detection of anchor images within the moving image sequence and pre-processes temporal synchronization data before AR rendering. By detecting anchor images in advance and preparing transformation matrices beforehand, the system achieves precise spatio-temporal alignment without adding significant runtime complexity.
Solution Approach 2:
The system creates a simplified copy or representation of the moving image sequence through anchor image detection and key frame extraction. Instead of analyzing every frame of the moving image, the system works with detected anchor points and pre-processed transformation data, reducing the detection and measurement burden while maintaining alignment reliability.
3Productivity
If manual alignment methods are used for AR imagery, then implementation is straightforward, but automation and efficiency are reduced
Solution Approach 1:
The system enables automated detection of anchor images within moving video content and automatically generates the necessary transformation matrices for spatio-temporal alignment. The AR system self-adjusts to the moving image content by detecting features and computing alignment parameters without requiring manual intervention, thereby improving productivity while maintaining high automation.
4Ease of operation
If AR effects are overlaid without precise alignment, then processing is simpler and faster, but the immersive and interactive experience is degraded
Solution Approach 1:
The system performs preliminary detection of anchor images within the moving image sequence and pre-computes transformation matrices for spatio-temporal alignment before AR rendering. By preparing alignment data in advance, the system maintains operational simplicity during runtime while achieving precise alignment through pre-processed reference data.
Data Source
AI summary
A media enhancement system includes an augmented reality (AR) device having a display, processing hardware, and a memory storing software code. The processing hardware executes the software code to monitor media content including a sequence of moving images displayed on a display screen separate from the AR device, receive playhead data indicating a playhead state of a media playout device playing out the media content, and detect, based on monitoring the media content, one or more image(s) in the sequence of moving images as one or more anchor image(s). The software code is further executed to obtain, using the anchor image(s), one or more AR effect(s) associated with the anchor image(s), and render, based on the playhead data, the AR effect(s) on the display of the AR device, wherein the AR effect(s) is/are spatially and temporally aligned with the sequence of moving images being displayed on the display screen.