Dense Field Imager Facet Segmentation for Light Field Data
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Solution Overview
Problem
Current imaging technologies face limitations in capturing and processing light field data from multiple sources, particularly in generating dense field representations that allow for dynamic editing and cinematography, as they often require complex camera configurations and operator involvement.
Innovation Solution
The development of dense field imaging systems comprising multiple imaging blocks or facets with overlapping fields of view, which aggregate light field representations to create a dense field data set, enabling dynamic generation of viewpoints, focus, and other image properties post-processing, and reducing the need for camera operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple imaging devices are used to capture light field data, then the quality and versatility of image processing is improved, but the device complexity and operational requirements increase
Solution Approach 1:
The imaging system is divided into multiple independent imaging blocks or facets, each capturing a portion of the light field. These segmented units can be independently configured and processed, then combined to create a comprehensive dense field data set that provides enhanced adaptability for various image processing applications.
Solution Approach 2:
Multiple light field representations from different imaging devices are merged into a unified dense field data set. This combining process integrates data from overlapping fields of view, creating a comprehensive data structure that enables versatile post-processing operations without requiring complex real-time coordination between devices.
2Measurement precision
If multiple imaging devices with overlapping fields of view are used, then dense field data quality is improved, but the operational complexity and need for operator involvement increases
Solution Approach 1:
The imaging system is pre-configured with multiple imaging blocks positioned to capture overlapping fields of view. The geometric relationships and data aggregation methods are established in advance, allowing the system to automatically generate high-quality dense field data without requiring operators to make complex real-time adjustments or interventions.
Solution Approach 2:
The system automatically processes and aggregates light field representations from multiple imaging devices using predetermined algorithms and geometric models. This self-service capability eliminates the need for manual operator intervention in data fusion and dense field generation, maintaining high measurement precision while simplifying operation.
3Loss of information
If complex camera configurations are used to capture dense field data, then the completeness of light field representation is improved, but the setup time and operational complexity increases
Solution Approach 1:
The complete light field is captured by dividing it into multiple manageable segments using separate imaging blocks. Each block captures a specific portion of the light field, and the segmented data is systematically aggregated to reconstruct the complete scene, reducing setup complexity and time while maintaining data completeness.
Solution Approach 2:
The system transitions from capturing complete images to capturing light field representations that include spatial and angular dimensions. By organizing imaging blocks to capture overlapping fields of view and processing the data in a multi-dimensional space, the system achieves comprehensive light field coverage more efficiently than traditional complete-image approaches.
Data Source
AI summary
Dense field imagers are disclosed which are configured to provide combined, aggregated, fused, and/or stitched light field data for a scene. A dense field imager can include a plurality of imaging elements configured to be joined into image blocks or facets that each provides light field data about a scene. The dense field imager can include a plurality of facets in a fixed or modular fashion such that the dense field imager is configured to combine, aggregate, fuse and/or stitch light field data from the plurality of facets. The facets can be mounted such that one or more facets are non-coplanar with other facets. The facets can be configured to provide a representation of the light field with overlapping fields of view. Accordingly, the dense field imager can provide dense field data over a field of view covered by the plurality of facets.