Stereo Depth Markers for Accurate 3D Content Placement
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Solution Overview
Problem
Existing systems fail to efficiently and accurately alter stereoscopic images of 3D environments to include added visual content, such as 3D objects, due to challenges in accurately positioning and rendering these elements within the stereo image content, particularly with resolution mismatches between captured and added content.
Innovation Solution
The method involves using markers indicative of stereo depth to position and orient added content within the 3D environment, with a processor executing instructions to generate an altered version of the stereo content by integrating 3D object content based on depth markers, blurring algorithms, and machine learning models to ensure accurate placement and resolution matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If markers indicative of stereo depth are used to position and orient added content within the 3D environment, then the positioning accuracy and depth representation are improved, but the device complexity and processing requirements increase
Solution Approach 1:
The patent introduces markers as intermediary elements that mediate between the stereo image content and the added 3D objects. These markers encode depth information and serve as reference points for positioning virtual content accurately within the 3D environment, resolving the positioning accuracy issue while managing complexity through a structured intermediary system
Solution Approach 2:
The system performs preliminary actions by pre-processing the stereo image content to identify and insert depth markers before adding the final 3D objects. This preliminary structuring of depth information facilitates accurate positioning of subsequent content without requiring complex real-time calculations during the main rendering process
2Manufacturing precision
If blurring algorithms and machine learning models are used to match resolution between captured and added content, then the visual fidelity is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent applies blurring algorithms and machine learning models in advance to prepare the added 3D content for integration with the stereo image content. By pre-processing the resolution matching and applying appropriate blur effects before final rendering, the system achieves high visual fidelity while reducing the computational burden during real-time playback
Solution Approach 2:
The system applies different processing qualities to different regions and elements of the content. Blurring and resolution matching are applied selectively to added 3D objects based on their depth and importance, rather than uniformly processing all content, thereby optimizing the balance between visual fidelity and processing efficiency
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods that modify a stereoscopic scene using a user-positioned stereo depth marker. In one example, the marker may be used to position content (e.g., computer-generated, virtual content, 3D objects, etc.) on top of/within the stereo scene by providing info about stereo depth, camera height, where features sit in depth in each eye's image, etc. In another example, the marker may additionally or alternatively be used to associate one or more objects, such as a tree depicted within the scene, with the background or foreground aspects/plates, which may then be rendered differently in providing the altered stereo content.