VR Stitching Error Correction via Cloud Feedback Loop
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Solution Overview
Problem
Virtual reality content generation faces challenges due to stitching errors when combining feeds from multiple cameras, leading to excessive data processing and suboptimal viewing experiences.
Innovation Solution
A cloud-based method that receives and corrects initial virtual reality video renders by identifying stitching errors, allowing users to edit and transmit corrections, which are then used to generate error-free virtual reality content for viewing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a larger number of cameras are used to reduce stitching errors, then manufacturing precision is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system performs preliminary stitching to generate an initial virtual reality render, then identifies stitching errors in that render, and finally generates correction data to fix the errors. This preliminary action approach allows the system to work with fewer cameras while achieving high precision through iterative correction rather than relying solely on increased camera quantity.
Solution Approach 2:
The system implements a feedback loop where stitching errors are identified in the initial render, correction data is generated based on these identified errors, and the corrections are applied to produce the final virtual reality content. This feedback mechanism enables continuous improvement of stitching accuracy without requiring additional cameras.
2Manufacturing precision
If a larger number of cameras are used to reduce stitching errors, then manufacturing precision is improved, but productivity decreases due to excessive data processing
Solution Approach 1:
The system extracts only the necessary correction data from the initial virtual reality render rather than processing all camera feeds simultaneously. By identifying specific stitching errors and generating corrections only for those areas, the system significantly reduces data processing requirements while maintaining high stitching precision.
Solution Approach 2:
The stitching correction process is segmented into distinct steps: initial stitching, error identification, correction data generation, and final rendering. This segmentation allows the system to process data in manageable portions rather than handling all camera feeds at once, improving productivity while achieving high precision results.
3Manufacturing precision
If manual correction tools are provided to users, then manufacturing precision is improved through error correction, but ease of operation decreases
Solution Approach 1:
The system automatically performs stitching error identification and correction data generation without requiring manual user intervention. The automated error identification and correction processes maintain high manufacturing precision while preserving ease of operation, as users simply need to provide feedback on the automated corrections rather than manually edit complex stitching parameters.
Solution Approach 2:
Users provide feedback on the automated stitching corrections, and this feedback is used to refine the correction process. This feedback loop maintains high precision while keeping the system easy to operate, as users only need to review and provide simple feedback rather than perform complex manual corrections.
Data Source
AI summary
Illustrative methods and systems for generating virtual reality content based on corrections to stitching errors are described. An illustrative computer-implemented method includes receiving raw virtual reality video data representing images recorded by camera modules of a camera array, using a stitching algorithm to stitch the images together to generate an initial virtual reality render, determining that the initial virtual reality render has a stitching error, determining a correction for the stitching error, and modifying the stitching algorithm based on the correction for the stitching error. The modified stitching algorithm may be used to generate a corrected virtual reality render that corrects the stitching error.