2D Image Selection Within 3D Models for Seamless Navigation
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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 transition between three-dimensional and two-dimensional imagery for improved navigation and rendering.
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 position and field of view, with tools for user interaction and smooth transitions between modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to generate three-dimensional immersive environments, then the quality and accuracy of the models can be maintained, but the cost and time consumption increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically generating three-dimensional models from two-dimensional imagery data before user interaction occurs. The automated reconstruction process creates the base 3D environment in advance, eliminating the need for time-consuming manual modeling while maintaining acceptable accuracy through modern computer vision algorithms.
Solution Approach 2:
The system creates copies of real-world environments by reconstructing three-dimensional models from two-dimensional photographs and imagery data. This copying approach allows automated generation of immersive environments that accurately represent physical spaces without requiring manual creation, thus reducing both time and cost while preserving model fidelity.
2Productivity
If automated three-dimensional reconstruction systems are used, then the generation time and cost are reduced, but errors and holes in the models increase
Solution Approach 1:
The system merges multiple two-dimensional imagery data sources, including photographs, videos, and panoramic images, to construct the three-dimensional model. By combining information from multiple angles and perspectives, the automated system compensates for gaps and errors in individual images, improving overall model quality while maintaining fast generation speeds.
Solution Approach 2:
The system incorporates feedback mechanisms where the generated three-dimensional model is continuously refined based on analysis of the input imagery data. Quality metrics and error detection algorithms provide feedback to the reconstruction process, automatically correcting holes and inconsistencies in the model while preserving the efficiency benefits of automated generation.
3Ease of operation
If only three-dimensional imagery data is rendered, then the immersive experience is enhanced, but the navigation and contextual understanding become difficult
Solution Approach 1:
The system seamlessly transitions between two-dimensional and three-dimensional rendering modes based on user needs. When navigation or contextual understanding is required, the system switches to or overlays 2D imagery data on the 3D model, providing a top-down or planar view that simplifies orientation and understanding while maintaining the immersive 3D experience when appropriate.
4Measurement precision
If two-dimensional imagery data is selected based on multiple criteria, then the rendering accuracy is improved, but the processing complexity increases
Solution Approach 1:
The system performs preliminary analysis and pre-processing of the imagery data, organizing and tagging images with metadata about their spatial relationships, quality metrics, and suitability for different viewing conditions. This preliminary action enables faster, more accurate selection of appropriate 2D imagery data during rendering without requiring complex real-time processing, thus improving selection precision while managing processing complexity.
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.