Pixel Beam Data Structure for Light Field Interoperability
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Solution Overview
Problem
Current light-field technology lacks a standard for the acquisition and transmission of multi-dimensional information, limiting its integration with regular 2D or 3D imaging due to proprietary file formats used by various plenoptic devices and camera arrays.
Innovation Solution
A computer-implemented method and apparatus that generates data representing a volume by defining pixel beams, which are characterized by specific parameters, allowing for the correspondence between sensor pixels and object space, enabling improved signal processing and image rendering across different optical systems, independent of proprietary formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If proprietary file formats are used by plenoptic devices and camera arrays, then device-specific functionality is maintained, but interoperability and integration with regular 2D or 3D imaging is limited
Solution Approach 1:
The patent creates a universal file format that can store both traditional 2D/3D image data and 4D light-field data in a single standardized structure. This allows different optical systems (plenoptic cameras, camera arrays, conventional cameras) to interoperate seamlessly, enabling regular images to be mixed with light-field images and processed together without format conversion or compatibility issues.
2Adaptability or versatility
If 4D light-field data is acquired using plenoptic cameras or camera arrays, then enhanced post-processing features are enabled, but standardization and ease of transmission are reduced
Solution Approach 1:
The standardized file format provides a common platform for transmitting 4D light-field data from various acquisition devices. The format includes structured metadata fields that preserve all necessary information for post-processing operations such as refocusing, depth extraction, and view synthesis, while enabling straightforward transmission and integration with conventional imaging workflows.
Solution Approach 2:
The patent introduces a standardized data structure as an intermediary between diverse light-field acquisition devices and processing applications. This intermediate format acts as a universal language that translates device-specific proprietary formats into a common representation, preserving 4D light-field information while enabling standardized transmission and processing across different systems.
3Measurement precision
If metadata describing pixel beam correspondence is generated, then signal processing and image rendering are improved, but data volume and processing complexity increase
Solution Approach 1:
The patent represents pixel beams using a compact set of parametric definitions rather than exhaustive point-cloud data. Each pixel beam is characterized by key parameters such as origin position, direction vectors, and spatial extent, which efficiently encode the correspondence between sensor pixels and object space. This parametric approach maintains high measurement precision while significantly reducing data volume compared to raw sampling data.
Data Source
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AI summary
There are several types of plenoptic devices and camera arrays available on the market, and all these light field acquisition devices have their proprietary file format. However, there is no standard supporting the acquisition and transmission of multi- dimensional information. It is interesting to obtain information related to a correspondence between pixels of a sensor of said optical acquisition system and an object space of said optical acquisition system. Indeed, knowing which portion of the object space of an optical acquisition system a pixel belonging to the sensor of said optical acquisition system is sensing enables the improvement of signal processing operations. The notion of pixel beam, which represents a volume occupied by a set of rays of light in an object space of an optical system of a camera is thus introduce.