Camera Posture Tracking for Stable AR Effect Positioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing augmented reality (AR) technologies struggle with maintaining an accurate positional relationship between real and AR objects, leading to viewer discomfort due to positional deviations of applied effects.
Innovation Solution
An information processing method that extracts segments from a video corresponding to a label associated with an effect and adjusts the application position of the effect based on camera posture changes, utilizing acceleration data to maintain alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If an effect is applied to a video segment using AR technology, then the visual appeal and engagement are improved, but the positional accuracy of the effect relative to the real object deteriorates due to camera posture changes
Solution Approach 1:
The system continuously detects camera posture changes using acceleration data and uses this feedback to adjust the effect application position in real-time, ensuring the effect remains accurately positioned on the target segment despite camera movement
Solution Approach 2:
The patent replaces mechanical tracking systems with sensor-based detection (acceleration sensors) to detect camera posture changes, and uses computational methods to calculate and apply position adjustments, substituting physical mechanical solutions with sensing and computing approaches
2Measurement precision
If the effect application position is adjusted according to camera posture changes, then the positional accuracy is improved, but the system complexity increases due to additional sensing and calculation requirements
Solution Approach 1:
The acceleration sensor serves multiple functions: it detects camera posture changes, provides data for position calculation, and enables real-time adjustment of effect positioning, allowing a single component to perform multiple tasks and reducing overall system complexity
Solution Approach 2:
The system uses the device's own built-in acceleration sensor to detect its posture changes, eliminating the need for external tracking cameras or additional specialized sensors, as the device serves itself for detection purposes
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures accurate and seamless integration of AR effects by maintaining the application position relative to the detected segments, reducing viewer discomfort and enhancing the viewing experience.
Implementation Method 1
a posture of the camera is detected by utilization of information including acceleration data
Data Source
AI summary
The information processing method includes segment extraction processing and adjustment processing. In the segment extraction processing, a segment corresponding to a label associated with an effect is extracted from a video of a camera (20). In the adjustment processing, an application position of the effect is adjusted according to a change in a posture of the camera (20), which posture is detected by utilization of information including acceleration data, in such a manner that the application position of the effect is not deviated from the extracted segment.


