Virtual Display Content Conversion Through Depth-Driven Multifocal Imaging
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Solution Overview
Problem
Existing display technologies struggle to convert multimedia visual content from one format to another, such as between virtual reality and augmented reality, due to incompatibilities in display modalities, requiring new tools and methods for automatic, semi-automatic, or manual conversion processes.
Innovation Solution
A conversion system comprising computational modules that extract depth information from input visual content and format it for display as multifocal virtual images, utilizing human vision system properties, user inputs, and AI-generated content to optimize the conversion process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If display content is converted from one display modality to another (e.g., VR to AR), then content compatibility across different display systems is improved, but the complexity of the conversion process and tools required increases
Solution Approach 1:
The patent introduces computational modules as intermediary components that mediate between different display modalities. These modules extract depth information from source content and reformat it for target display systems, serving as a bridge that enables conversion between VR, AR, MR and other display formats without requiring complex direct transformation protocols
Solution Approach 2:
The conversion system changes key parameters of the display content, specifically extracting and manipulating depth information as a critical parameter. By identifying and transforming depth-related parameters along with format parameters, the system adapts content for different display modalities while maintaining a relatively simple conversion process
2Adaptability or versatility
If manual or semi-automatic conversion tools are developed for content format conversion, then conversion flexibility is improved, but the time and resources required for the conversion process increase
Solution Approach 1:
The system performs preliminary action by pre-extracting depth information from the source content before the actual format conversion takes place. This preliminary extraction of depth maps and depth-related data prepares the content in advance, making the subsequent conversion to different display formats faster and more efficient
Solution Approach 2:
The conversion process is segmented into distinct computational modules: depth information extraction, depth map processing, and format conversion. This segmentation allows each module to specialize in a specific task, improving overall efficiency while maintaining flexibility for different conversion scenarios
3Manufacturing precision
If depth information extraction and multifocal virtual image formatting are implemented, then visual realism and user experience are improved, but the computational complexity and processing requirements increase
Solution Approach 1:
The patent applies the extraction principle by isolating and extracting depth information as a separate component from the original display content. By taking out the depth map and depth-related data as distinct elements, the system can process and manipulate this information independently, achieving enhanced visual realism without unnecessarily complicating the overall computational process
Solution Approach 2:
The system adds the depth dimension to traditional 2D display content by extracting and utilizing depth information. This dimensionality change transforms flat images into multifocal virtual images with perceived depth, significantly improving visual realism while managing computational complexity through efficient depth map processing techniques
Data Source
AI summary
Systems and methods of converting visual content for display on a virtual display system include extracting depth information from input visual content and formatting the input visual content and the depth information. The virtual display system may produce virtual images that are multifocal virtual images. The conversion of the input visual content into the multifocal virtual images may be impacted by properties of the human vision system, physical modeling of the input visual content, user input or sensory data, or generative content.