Flat-Surfaced 3D Objects for Seamless Real-World Integration
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Solution Overview
Problem
Existing technologies struggle to seamlessly integrate real-world objects into synthetic 3D scenes, particularly in capturing and rendering the movement and orientation of objects in a way that creates a convincing visual illusion.
Innovation Solution
A system that captures a sequence of 2D images of a real 3D object, tracks the movement and orientation of the capturing device, and uses this data to generate and integrate 3D-renderable objects into a synthetic 3D scene, creating a visual illusion that the real object is part of the synthetic environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a sequence of 2D images is captured and integrated into a synthetic 3D scene, then the visual realism and immersion are enhanced, but the complexity of tracking movement and orientation and rendering the objects convincingly increases
Solution Approach 1:
The system segments the integration process into distinct functional modules: image capturing subsystem, tracking subsystem, image processing subsystem, and 3D rendering subsystem. Each module handles a specific aspect of the integration task, making the overall complex process manageable and modular.
Solution Approach 2:
The patent introduces intermediate representations such as 3D-renderable objects with flat sides that serve as mediators between the captured 2D images and the final synthetic 3D scene. These intermediaries facilitate the transformation and integration process while maintaining visual consistency.
2Manufacturing precision
If 3D-renderable objects are generated from 2D images with texture mapping, then the visual illusion of the real object in the synthetic scene is created, but the processing time and computational resources increase
Solution Approach 1:
The system generates 3D-renderable objects with flat sides rather than full complex 3D models. This partial representation is sufficient to create the visual illusion when viewed from the tracked viewpoints, reducing computational requirements compared to generating complete 3D models with full geometry and lighting.
Solution Approach 2:
The patent transforms 2D image data into 3D-renderable objects by changing the representation parameters - creating objects with flat sides that are texture-mapped with the captured images. This parameter transformation enables efficient rendering while maintaining visual fidelity from specific viewpoints.
3Measurement precision
If the tracking subsystem continuously monitors movement and orientation, then the accuracy of virtual viewpoint derivation is improved, but the energy consumption and processing load increase
Solution Approach 1:
The tracking subsystem continuously monitors and records movement and orientation data during the image capture phase. This preliminary action stores the spatial information for later use in deriving virtual viewpoints, eliminating the need for continuous tracking during rendering and reducing overall energy consumption.
Data Source
AI summary
Systems and methods for integrating a sequence of 2D-images of an object into a synthetic 3D-scene. A sequence of 2D-images of a target object is captured using a smart device such as a smartphone. The object is extracted from the image sequence, and converted into a corresponding sequence of flat-surfaced 3D-renderable objects that are placed in a synthetic 3D-scene. Movement and orientation of the smart device are captured and translated into corresponding viewing points in the 3D-scene, in which the viewing points are then used to 3D render the 3D-scene, together with the flat-surfaced 3D-renderable objects now embedded therewith, into a video sequence showing the target object as an integral part of the 3D-scene. Other effects such as lighting, shadowing and reflections are rendered in conjunction with the flat-surfaced 3D-renderable objects so as to further enhance an illusion that the target object is an integral part of the 3D-scene.