Interpolating Tracked Control Points for Immersive Image Rendering
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Solution Overview
Problem
Traditional digital media formats, such as 2D flat images, limit the ability to record and preserve memories with high fidelity and require significant additional data for interpolation or extrapolation, leading to inefficiencies in processing speed and transfer rates.
Innovation Solution
The method involves tracking control points between frames to generate artificially rendered images by interpolating pixel locations, allowing for efficient interpolation and extrapolation of image data, enabling the creation of immersive surround views with reduced data redundancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If dense depth maps or optical flow maps are used for interpolation, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the scene into multiple layers (foreground, midground, background) and represents each layer using only a sparse set of control points rather than dense per-pixel data. This segmentation allows precise interpolation of scene structure while dramatically reducing data complexity and storage requirements.
Solution Approach 2:
The patent applies different levels of detail to different parts of the scene by using sparse control points only where needed to define layer boundaries and significant features, while leaving other areas to be interpolated smoothly. This local quality approach maintains precision where critical while minimizing overall data complexity.
2Manufacturing precision
If dense depth maps or optical flow maps are used for interpolation, then manufacturing precision is improved, but productivity decreases
Solution Approach 1:
By segmenting the scene into layers represented by sparse control points, the patent reduces the computational burden of interpolation from processing every pixel to processing only key control points. This maintains geometric precision while dramatically improving processing speed and productivity.
Solution Approach 2:
The patent uses sparse control points as simplified copies or representations of the full scene geometry. Instead of manipulating complete dense depth maps, it works with condensed control point representations that capture essential scene structure, enabling faster processing while maintaining interpolation accuracy.
3Manufacturing precision
If dense depth maps or optical flow maps are used for interpolation, then manufacturing precision is improved, but loss of substance increases
Solution Approach 1:
The patent segments the scene representation into sparse control points per layer rather than dense per-pixel data. This segmentation maintains the precision needed for accurate interpolation while reducing data volume by orders of magnitude, minimizing loss of substance during storage and transmission.
Solution Approach 2:
The patent extracts only the essential geometric information needed for interpolation by identifying and storing sparse control points that define layer boundaries and significant features. This extraction process removes unnecessary data while preserving the critical information needed for precise scene reconstruction.
Data Source
AI summary
Various embodiments of the present invention relate generally to systems and processes for artificially rendering images using interpolation of tracked control points. According to particular embodiments, a set of control points is tracked between a first frame and a second frame, where the first frame includes a first image captured from a first location and the second frame includes a second image captured from a second location. An artificially rendered image corresponding to a third location is then generated by interpolating individual control points for the third location using the set of control points and interpolating pixel locations using the individual control points. The individual control points are used to transform image data.