3D Video Rendering Object Relocation for View-Angle and Lighting Adjustment
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Solution Overview
Problem
Conventional 3D video rendering systems fail to effectively enhance 3D effects for objects in video content, as they do not adequately account for view-angle and lighting changes, leading to unsatisfactory visual experiences for users.
Innovation Solution
A system and method that utilize a 3D video rendering device to track and adjust 3D effects by interpolating 2D image data and depth information based on calculated view-angle and lighting changes, allowing for the re-location of objects within the video frame to optimize 3D rendering, using a monoscopic video camera array and video processor to capture and process 2D and 3D data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional 3D video rendering systems are used, then the rendering process is simple, but the 3D effects and visual realism are unsatisfactory
Solution Approach 1:
The system performs preliminary actions by pre-calculating view-angle differences and lighting condition changes before rendering. The 3D video rendering device calculates the difference between current and preferred locations, determines view-angle and lighting parameters in advance, and prepares transformation data before actual rendering occurs. This allows complex 3D effects to be achieved through pre-planned transformations rather than complex real-time rendering operations.
Solution Approach 2:
The invention achieves improved 3D rendering quality by changing key parameters: view-angle differences (θ-β), lighting conditions (ξ-μ), and object locations. The system transforms 2D image data and depth information according to these parameter changes to generate enhanced 3D effects. By systematically varying these parameters based on preferred versus current locations, the system improves rendering quality without requiring fundamentally more complex hardware.
2Manufacturing precision
If 3D effects are enhanced through object re-location and data interpolation, then visual realism is improved, but processing complexity increases
Solution Approach 1:
The system introduces an intermediary processing layer that calculates view-angle differences and lighting condition changes between current and preferred object locations. This intermediary computation of transformation parameters (θ-μ differences) serves as a mediator that simplifies the overall process: instead of directly performing complex re-location and interpolation operations, the system first computes intermediate transformation data that guides subsequent rendering adjustments.
Solution Approach 2:
The enhancement process is segmented into distinct steps: (1) calculating location differences between current and preferred positions, (2) determining view-angle differences (θ-β) and lighting condition changes (ξ-μ) separately, (3) transforming 2D image data according to these parameters, and (4) applying depth information adjustments. This segmentation allows each aspect of 3D enhancement to be processed independently and systematically, reducing overall processing complexity.
3Manufacturing precision
If view-angle and lighting adjustments are made for each object, then 3D effects are enhanced, but computational time increases
Solution Approach 1:
The system performs preliminary calculations of view-angle differences (θ-β) and lighting condition changes (ξ-μ) for all objects before actual rendering. By pre-determining these transformation parameters based on preferred versus current locations, the system avoids repeated calculations during rendering, thereby reducing processing time while maintaining accurate 3D effects.
Data Source
AI summary
A three-dimensional (3D) video rendering device monitors 3D effects associated with an object in a received 3D video image-by-image. The object may be re-located to a preferred location to adjust the associated 3D effects. Two-dimensional (2D) image data and corresponding depth information for the object at the current location are interpolated to the preferred location. A location difference and lighting condition changes corresponding to the re-location of the object are calculated to determine a view angle and lighting conditions for the object at the preferred location. 2D image data and depth information for the object at the preferred location are estimated based on the determined view angle and the determined lighting conditions for the object at the preferred location. The estimated 2D image data and the estimated corresponding depth information may be applied to the object at the preferred location to enhance the associated 3D effects for 3D video rendering.