2D Imagery Selection Within 3D Models for Seamless Transitions
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Solution Overview
Problem
Existing three-dimensional immersive environments, such as first-person video games and terrain visualization tools, face challenges in manual generation costs and errors, necessitating efficient methods to navigate and transition between three-dimensional and two-dimensional data for improved user interaction.
Innovation Solution
Systems and methods for generating correlated three-dimensional and two-dimensional models by selecting 2D imagery data based on selection criteria, including navigation, analysis, and user input, with smooth transitions and user tools for manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If three-dimensional immersive environments are generated manually, then the model can be customized and controlled, but the generation process is costly and time-consuming
Solution Approach 1:
The patent replaces manual mechanical generation processes with automated computational algorithms. The system automatically captures 3D spatial data using sensors (depth cameras, LiDAR, stereo vision) and processes it through computational geometry algorithms to generate immersive environments without manual modeling operations.
Solution Approach 2:
The system performs self-service by automatically capturing and processing 3D data from the environment without requiring manual user input for model construction. The automated pipeline handles data acquisition, processing, and environment generation independently, eliminating the need for manual generation efforts.
2Productivity
If three-dimensional immersive environments are generated automatically, then the generation process is efficient, but the models can contain errors and holes
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors and validates the generated 3D model against captured sensor data. Quality metrics assess model completeness and accuracy, and the system provides feedback to correct errors and fill holes automatically, ensuring reliable models while maintaining high generation efficiency.
Solution Approach 2:
The system performs preliminary actions by pre-processing captured data to identify and mark potential errors or holes before final model generation. This preliminary quality assessment allows the system to prepare correction data in advance, ensuring the final model is free of defects while maintaining automated efficient generation.
3Loss of information
If the system transitions between 3D and 2D data rendering, then the user can access detailed information, but the transition may disrupt immersion
Solution Approach 1:
The patent introduces an intermediary transition layer that smoothly bridges 3D and 2D rendering modes. Instead of abrupt switches, the system uses intermediate states and gradual transitions that maintain visual continuity and user immersion while still providing access to detailed 2D information when needed.
Solution Approach 2:
The rendering system dynamically adjusts between 3D and 2D modes based on user interaction and contextual needs. The transition is handled through dynamic rendering techniques that can smoothly switch between modes while maintaining visual coherence, allowing information access without disrupting the overall user experience or immersion.
Data Source
AI summary
Systems and methods for generating three-dimensional models with correlated three-dimensional and two dimensional imagery data are provided. In particular, imagery data can be captured in two dimensions and three dimensions. Imagery data can be transformed into models. Two-dimensional data and three-dimensional data can be correlated within models. Two-dimensional data can be selected for display within a three-dimensional model. Modifications can be made to the three-dimensional model and can be displayed within a three-dimensional model or within two-dimensional data. Models can transition between two dimensional imagery data and three dimensional imagery data.