Lightfield Capture via Distributed Camera Encoding
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Solution Overview
Problem
Current lightfield camera systems face significant delays in processing and displaying imagery due to high computational and bandwidth requirements, making real-time capture and viewing of lightfield data impossible, which hinders their usability in applications like filming and webcam functionality.
Innovation Solution
A distributed computing system that processes images locally at camera computing systems and generates lightfield frames in real or near-real time, reducing data size and transmission bandwidth, allowing for immediate quality assessment and enabling real-time capture and display of lightfield frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If lightfield camera arrays capture imagery from multiple camera positions, then the quality and completeness of lightfield data is improved, but the processing time and computational requirements increase significantly
Solution Approach 1:
The patent divides the lightfield camera array into multiple independent camera units, each capturing imagery from its own position. Each camera processes and encodes its captured data independently, then transmits only the encoded result to a central reconstruction system. This segmentation allows parallel processing of multiple camera feeds simultaneously, reducing overall processing time while maintaining complete lightfield data quality.
2Power
If high-end computers are used to process lightfield data, then processing capability is improved, but the time required to transfer and process data remains significant
Solution Approach 1:
The patent applies preliminary encoding and compression to the imagery data captured by each camera before transmission to the central reconstruction system. By pre-processing the data at the camera level (including encoding and reducing data size), the system minimizes the amount of data that needs to be transferred and processed centrally, significantly reducing data transfer time and overall processing delay even when using high-end computers.
3Loss of information
If synchronized video files are recorded locally at each camera, then data capture completeness is improved, but bandwidth requirements for transferring image data increase significantly
Solution Approach 1:
The patent extracts and removes redundant information from the captured video feeds through encoding and compression algorithms applied at each camera unit. By taking out only the essential encoded data rather than transmitting complete synchronized video files, the system maintains data capture completeness for lightfield reconstruction while dramatically reducing the bandwidth requirements for transferring image data from multiple cameras to the central system.
4Productivity
If real-time processing is implemented, then usability for filming and webcam applications is improved, but computational complexity and resource requirements increase
Solution Approach 1:
The patent segments the computational workload by distributing encoding tasks across multiple independent camera units rather than requiring one centralized system to process all data. Each camera performs its own encoding and prepares data for transmission, enabling parallel real-time processing. This segmentation reduces the computational complexity burden on any single device while maintaining real-time capture capability for filming and webcam applications.
Data Source
AI summary
A system for generating holographic images or videos comprising a camera array, a plurality of processors, and a central computing system. A method for generating holographic images can include receiving a set of images and processing the images.


