3D Image Capture System Using Dynamic Device Pair Selection
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Solution Overview
Problem
Conventional 3D cameras suffer from system errors and reduced capturing area, making them less accurate for applications requiring high-accuracy control, such as autonomous vehicles and virtual reality.
Innovation Solution
A 3D image capture system that selects pairs of image capture devices with minimal distance errors, determining distance errors between measured and real positions using trigonometry, and adjusts angles of view to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dual camera or IR 3D camera is used to obtain accurate depth information, then measurement precision is improved, but capturing area is reduced
Solution Approach 1:
The system segments the capturing area into multiple regions, each optimized for specific depth measurement requirements. Different image capture devices are assigned to different regions based on their performance characteristics, allowing the system to maintain high measurement precision in critical areas while expanding overall capturing coverage.
Solution Approach 2:
The system merges multiple image capture devices with different field of view and depth measurement capabilities into a unified 3D imaging system. By combining devices strategically positioned at different locations and angles, the system achieves both extensive capturing area and accurate depth information in the overlapped regions.
2Area of stationary object
If spacing between image capture devices is increased to expand capturing area, then area of stationary object is improved, but system errors increase
Solution Approach 1:
The system implements feedback mechanisms where the measured depth information is continuously validated and corrected. Distance errors are calculated by comparing measurements from different device pairs, and the system selectively uses measurement pairs with minimum errors, thereby maintaining reliability even when devices are spaced apart to expand capturing area.
Solution Approach 2:
The system dynamically changes measurement parameters by selecting different pairs of image capture devices based on the target object's position and distance. When objects are in regions where certain device pairs provide more accurate measurements, those pairs are selected, thereby adapting the system's effective parameters to minimize errors across the expanded capturing area.
3Measurement precision
If multiple pairs of image capture devices are used to reduce distance errors, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system employs dynamic selection of image capture device pairs based on real-time measurement requirements. Rather than operating all device pairs simultaneously, the system dynamically selects the optimal pair for each measurement task, reducing computational complexity while maintaining high measurement precision through adaptive parameter selection.
Solution Approach 2:
Different regions of the capturing area are assigned different image capture device pairs based on local measurement quality requirements. The system identifies which device pairs provide minimum distance errors for specific spatial regions and selectively activates those pairs, thereby achieving high measurement precision without the complexity of simultaneously managing all possible device combinations.
Data Source
AI summary
A 3D image capture method includes selecting a plurality of different pairs of image capture devices, of which distance errors relevant to an object are determined, the distance error being a distance between a measured position and a real position of the object; selecting a pair of image capture devices with a minimum distance error; and obtaining 3D information according to spacing and angles of view of the selected pair of image capture devices.