3D Model Reconstruction for Stereoscopic Video Rendering
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Solution Overview
Problem
Existing techniques for converting two-dimensional images to stereoscopic three-dimensional images suffer from distortion and inaccuracies, particularly in rendering multi-tone surface characteristics and handling object transformations, leading to visual anomalies and incomplete rendering of three-dimensional scenes.
Innovation Solution
The creation of three-dimensional models of objects within images, using camera reconstruction and texture mapping techniques, allows for accurate rendering of stereoscopic images by encoding object transformations and surface characteristics, enabling more precise rendering of three-dimensional effects compared to traditional two-dimensional correlation methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If stretching operations are used to fill blank regions in background, then gaps are compensated, but distortion of the object increases
Solution Approach 1:
The patent transitions from two-dimensional image processing to three-dimensional scene reconstruction. By building a 3D model of the scene including object geometry, camera position, and lighting information, the system can render background regions from alternative viewpoints without distorting the original object. This dimensional transition allows simultaneous preservation of object integrity and completion of background areas.
Solution Approach 2:
The patent creates a three-dimensional copy or model of the original scene rather than directly manipulating the two-dimensional image. This virtual 3D replica allows for generating additional viewpoint information synthetically, enabling background completion without modifying or distorting the original object in the source image.
2Manufacturing precision
If 3D geometry and surface reconstruction are used, then rendering quality improves, but processing complexity increases
Solution Approach 1:
The patent segments the scene into distinct components: object regions, background regions, and occluded regions. By identifying and separating these areas, the system can apply different processing strategies to each segment, reducing overall complexity while maintaining high rendering quality in critical areas.
Solution Approach 2:
The patent performs preliminary scene analysis and 3D model construction before final rendering. By pre-processing the scene to extract geometry, camera parameters, and object boundaries, the system simplifies subsequent rendering operations and achieves high quality results more efficiently.
3Loss of information
If temporal searching through video frames is performed, then occluded object portions are recovered, but processing time increases
Solution Approach 1:
Instead of searching through multiple time dimensions (video frames), the patent uses spatial dimension information from 3D scene reconstruction. The system can directly compute occluded regions and synthesize their appearance from the 3D model without temporal searching, significantly reducing processing time while recovering occluded information.
Data Source
AI summary
Some representative embodiments are directed to creating a “virtual world” by processing a series of two dimensional images to generate a representation of the physical world depicted in the series of images. The virtual world representation includes models of objects that specify the locations of the objects within the virtual world, the geometries of the objects, the dimensions of the objects, the surface representation of the objects, and/or other relevant information. By developing the virtual world representation, a number of image processing effects may be applied such as generation of stereoscopic images, object insertion, object removal, object translation, and/or other object manipulation operations.