Stereoscopic Image Pair Generation from 2D Satellite Imagery
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Solution Overview
Problem
Current methods lack the ability to generate stereoscopic image pairs and 3D models for all geographic areas, particularly due to the unavailability of stereoscopic images and challenges in orienting and visualizing satellite and aerial imagery from different viewing angles, which affects depth perception and comfort in 3D visualization.
Innovation Solution
A system and method that computationally projects 2D images and maps into stereoscopic image pairs using pre-determined viewing points and the collinearity principle, allowing for the generation of stereoscopic 3D image pairs, line maps, and labels, which can be displayed on 3D or autostereoscopic displays, and can reconstruct high-resolution satellite images with proper viewing angles and orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If stereoscopic image pairs are generated using pre-existing stereoscopic satellite and aerial images, then depth perception and 3D visualization quality are improved, but availability is limited to areas with pre-existing stereoscopic data
Solution Approach 1:
The system segments the problem into two parts: areas with pre-existing stereoscopic images are processed directly, while areas without stereoscopic data are handled by generating synthetic stereoscopic pairs from 2D images using computed viewing points and collinearity relationships. This segmentation allows the system to maintain high depth perception accuracy where data exists while expanding coverage to all geographic areas.
Solution Approach 2:
The system introduces an intermediary computational process that generates synthetic stereoscopic image pairs from 2D satellite and aerial images. By computing viewing points and applying collinearity principles, the system creates intermediate stereoscopic representations that enable 3D visualization in areas where no pre-existing stereoscopic data is available, thus bridging the gap between limited data availability and universal coverage.
2Adaptability or versatility
If satellite and aerial imagery from different viewing angles are used to create stereoscopic pairs, then 3D visualization capability is improved, but orientation and alignment challenges reduce visualization comfort
Solution Approach 1:
The system performs preliminary computation of viewing points and collinearity relationships before generating the final stereoscopic image pairs. By pre-calculating the geometric relationships and proper orientations of images from different viewing angles, the system ensures that the resulting stereoscopic pairs are correctly aligned and oriented, thereby maintaining visualization comfort while enabling 3D capability.
Solution Approach 2:
The system changes the parameters of the imagery by computing and applying specific viewing point transformations and collinearity adjustments. By modifying the orientation and positional parameters of satellite and aerial images through mathematical computations, the system aligns images from different viewing angles into properly oriented stereoscopic pairs that maintain viewer comfort while providing accurate 3D visualization.
3Adaptability or versatility
If computationally projected stereoscopic image pairs are generated for all geographic areas, then availability and coverage are improved, but computational complexity and processing requirements increase
Solution Approach 1:
The system implements a universal computational framework that handles both areas with pre-existing stereoscopic data and areas requiring synthetic generation. The same collinearity-based computation and viewing point determination mechanisms are applied universally across all geographic areas, whether processing real stereoscopic pairs or generating synthetic ones from 2D images, thereby simplifying the overall system architecture despite the computational demands.
Data Source
AI summary
In certain embodiments, a system and method for generating a stereoscopic image pair from a 2D satellite or aerial image and a 3D model.