Galilean Monocentric Multiscale Camera Volume Reduction
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Solution Overview
Problem
Current gigapixel imaging systems are limited by high cost, complexity, and computational challenges, with prior art MMS systems adopting Keplerian designs that result in larger volumes and vignetting issues due to overlapping microcamera fields of view.
Innovation Solution
The implementation of a monocentric multiscale gigapixel imaging system using a Galilean architecture with co-boresighted cameras, which interleaves fields of view to eliminate overlaps and reduce system volume, enabling a smaller, more compact design with improved image quality and reduced vignetting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Keplerian design is used for MMS system, then overlapping microcamera fields of view can be achieved, but system volume increases and vignetting occurs
Solution Approach 1:
The patent inverts the conventional Keplerian design approach by adopting a Galilean design where the objective lens has a negative focal length. This inversion eliminates the intermediate image surface and allows microcameras to be positioned without overlapping fields of view, reducing system volume by up to 10× while maintaining complete field coverage without vignetting.
2Area of stationary object
If Keplerian design is used for MMS system, then microcamera fields of view can cover the required area, but vignetting issues occur due to overlapping fields
Solution Approach 1:
By inverting to Galilean design with negative focal length objective, the patent eliminates the overlapping field of view geometry that causes vignetting. The microcameras are positioned to interleave their fields of view without overlap, achieving complete area coverage while eliminating the harmful vignetting effect entirely.
3Measurement precision
If prior art MMS systems are used, then gigapixel imaging can be achieved, but cost and complexity are high
Solution Approach 1:
The patent simplifies the system by inverting to Galilean design, which eliminates the intermediate image surface and reduces the number of optical components required. This reduces device complexity and cost while maintaining gigapixel imaging capability through the monocentric multiscale architecture with co-boresighted microcameras.
Solution Approach 2:
The patent divides the imaging system into multiple microcameras with different fields of view that interleave to capture the complete scene. This segmentation approach achieves gigapixel resolution without requiring a single complex high-resolution sensor, thereby reducing overall system complexity and cost.
Data Source
AI summary
Disclosed are systems, methods, and structures for monocentric multiscale gigapixel imaging systems and cameras employing a Galilean architecture wherein adjacent subimages do not overlap while advantageously producing a reduced system volume, improved relative illumination and image quality as compared with prior art systems.


