Display Assembly Pose Correction for Accurate Virtual Production
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Solution Overview
Problem
Existing virtual production systems face challenges in accurately rendering content due to mismatches between the physical poses of display assemblies and their virtual representations, caused by factors like installation tolerances, temperature changes, and thermal expansion, leading to quality issues in content presentation.
Innovation Solution
A method and system that utilize motion capture data to determine the physical poses of displays, apply a fitting model to generate transformations, and update virtual models to reflect current physical poses, thereby correcting pose errors and improving the accuracy of content rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a virtual model is used to represent the physical display assembly, then content rendering can be performed in real-time, but pose errors between the virtual and physical models cause misalignment and reduce rendering accuracy
Solution Approach 1:
The system continuously captures the physical pose of the display assembly using motion capture technology and feeds this information back to update the virtual model in real-time. This closed-loop feedback mechanism ensures the virtual model accurately reflects the physical assembly's position and orientation, resolving the misalignment issue while maintaining real-time rendering capability
Solution Approach 2:
The patent replaces manual or mechanical pose measurement methods with optical motion capture technology and automated transformation algorithms. This substitution eliminates human error and mechanical limitations, achieving both real-time updates and high precision pose alignment between virtual and physical models
2Measurement precision
If the virtual model is updated frequently to maintain accuracy, then pose error correction improves, but computational complexity and processing time increase
Solution Approach 1:
The system pre-establishes the transformation relationship between the virtual and physical models during an initialization phase, including coordinate system alignment and parameter calibration. This preliminary setup stores transformation matrices and reference data that enable rapid, accurate pose corrections during real-time operation without requiring complex computational processing at each update cycle
Solution Approach 2:
The patent optimizes the update frequency and precision parameters of the virtual model based on the specific requirements of different application scenarios. By dynamically adjusting parameters such as update rate, transformation precision, and motion capture sampling frequency, the system achieves an optimal balance between pose accuracy and computational complexity
Data Source
AI summary
Systems, apparatus, and methods for rendering content based on production element pose are disclosed. In an example, motion capture data of a production element is received, the production element moving from a first physical pose to a second physical pose. The motion capture data is processed to determine the coordinates of the second physical pose. A transformation of the second physical pose of the production element to a virtual pose of the production element is generated. A virtual model of the production element is updated, the virtual model comprising the virtual pose of the production element. The content is rendered based on the updated virtual model.