Tandem Camera System for Instantaneous 3D Reconstruction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional 3D terrain reconstruction methods from aerial platforms using monocular cameras fail to provide accurate, instantaneous reconstruction of both static and dynamic environments, especially when dealing with distant objects, due to the need for multiple views taken at different times, which prevents real-time tracking of moving objects.
Innovation Solution
A tandem camera system with synchronized image acquisition and ranging sensors, forming a virtual stereo camera system, allows for instantaneous 3D reconstruction of terrain and objects by adjusting the baseline distance between cameras, enabling accurate tracking of moving objects and robust collision avoidance in static and non-static environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a monocular camera is used for 3D terrain reconstruction, then the system complexity is reduced, but the measurement precision of 3D reconstruction deteriorates
Solution Approach 1:
The patent combines multiple cameras (stereo camera system) into a single integrated system mounted on an aerial platform. This merging approach increases measurement precision for 3D reconstruction by providing multiple simultaneous views, while the integration on a single platform maintains relative simplicity compared to multiple separate systems.
Solution Approach 2:
The patent introduces a processing system that acts as an intermediary between the camera system and the final 3D reconstruction output. This processing system performs photogrammetric calculations and structure-from-motion algorithms to transform raw image data into accurate 3D terrain models, resolving the complexity-precision tradeoff by offloading computational complexity.
2Length of stationary object
If images are taken at different times for structure from motion, then the baseline distance between views is increased, but the ability to capture moving objects accurately deteriorates
Solution Approach 1:
The patent uses periodic image capture at regular time intervals during flight, creating a sequence of images that can be processed using structure-from-motion techniques. This periodic sampling allows the system to accumulate sufficient baseline distance while maintaining the ability to reconstruct both static terrain and detect moving objects through temporal comparison.
Solution Approach 2:
The patent maintains continuous image capture and processing throughout the flight, allowing the system to continuously update the 3D reconstruction as new images are acquired. This continuous operation enables the system to achieve large effective baseline distances through multiple sequential images while still capturing moving objects, as the processing continuously integrates new data with previous frames.
3Measurement precision
If a rigid stereo camera head is used, then time synchronized images are obtained, but the baseline distance is insufficient for accurate distant object reconstruction
Solution Approach 1:
The patent transitions from a static rigid stereo camera head to a dynamic configuration where multiple cameras are distributed on a moving aerial platform. This dynamic arrangement allows the baseline distance to increase as the platform moves between image captures, providing the necessary baseline for distant object reconstruction while maintaining time synchronization through coordinated capture intervals.
Solution Approach 2:
The patent adds the time dimension to the traditional two-camera stereo system by using multiple cameras captured at different times during flight. This transforms the problem from a fixed 2D baseline limitation to a 3D solution where the effective baseline is achieved through temporal separation and platform motion, allowing accurate reconstruction of distant objects while maintaining synchronization.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables real-time, accurate 3D reconstruction of terrain and objects, allowing for effective collision avoidance and tracking of moving targets, even in dynamic environments, with the ability to adapt resolution based on distance and maintain stealthy operation for reconnaissance missions.
Implementation Method 1
Each camera system is equipped with a camera and a ranging sensor to determine a distance, referred to as a baseline, between the two camera systems
Data Source
AI summary
A method, apparatus, and system provide for three-dimensional (3D) image reconstructing. Two or more cameras are mounted to one or more vehicles. The cameras are capable of moving with respect to each other. A baseline distance between each of the cameras is determined. A two-dimensional (2D) image is simultaneously acquired from each of the cameras. The acquiring is time synchronized and the vehicles are moving during the acquiring. The 2D images from the two or more cameras are matched. A delta pose between the cameras is reconstructed based on the matching and baseline distance. Based on the delta pose, a 3D image is instantaneously constructed.