Collaborative Computational Image Sensors for 4D Light Field Capture
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Solution Overview
Problem
Conventional cameras face limitations in capturing comprehensive scene information, such as depth and spectral details, due to directional fields of view and the need for multiple images with different settings, which requires additional storage and time for adjustments and stitching.
Innovation Solution
A collaborative image capturing system comprising computational image sensors that detect light fields, processors to adjust sensor parameters, and a network interface for data exchange among sensors, enabling the generation of combined images with enhanced depth and spectral information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple images are taken with different camera settings or positions to compensate for limitations, then comprehensive scene information is captured, but extra storage space and time are required
Solution Approach 1:
The patent transitions from capturing 2D RGB images to capturing 4D light field data by adding spatial dimensions (x, y, u, v coordinates). This dimensional expansion allows comprehensive scene information including depth to be captured in a single shot rather than requiring multiple images, thereby reducing storage requirements while preserving all scene details.
Solution Approach 2:
The imaging sensor parameters are changed from conventional 2D RGB capture to 4D light field capture. By modifying the sensor configuration to detect light field parameters (position and direction of light rays), the system captures complete scene information in a single image, eliminating the need for multiple images and reducing storage space.
2Loss of information
If multiple images are taken with different camera settings or positions to compensate for limitations, then comprehensive scene information is captured, but extra time is required for adjustments and stitching
Solution Approach 1:
By capturing 4D light field data in a single shot, the patent eliminates the time-consuming process of taking multiple images from different positions and stitching them together. The light field capture methodology records all spatial and angular information simultaneously, instantly providing comprehensive scene information without post-processing time.
Solution Approach 2:
The system performs preliminary action by capturing all necessary scene information in a single light field image before any post-processing is needed. This preliminary capture of complete data including depth and spectral information eliminates the need for subsequent time-consuming adjustments and stitching operations.
3Area of stationary object
If a wide angle lens is used to capture a wide field of view, then the field of view is expanded, but image quality deteriorates
Solution Approach 1:
The patent uses 4D light field photography to capture a wide field of view without the quality degradation associated with wide angle lenses. By recording the position and direction of light rays in four dimensions, the system can reconstruct high-quality images from different perspectives without relying on wide angle optics, thereby maintaining image quality while expanding the effective field of view.
4Area of stationary object
If panoramic images are created by wide angle lenses, then the field of view is expanded, but only one point of view is captured
Solution Approach 1:
The patent captures multiple perspectives simultaneously by recording 4D light field data. The light field contains information about the position and direction of light rays, enabling reconstruction of images from multiple viewpoints within a single capture. This preserves perspective information that would be lost in conventional panoramic imaging, allowing users to virtually move through the scene.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system captures a wider range of scene information, including depth and spectral details, allowing for more accurate three-dimensional modeling and post-capture adjustments, reducing computational intensity and storage needs.
Implementation Method 1
an imaging sensor configured to detect light signals from a field of view
Data Source
AI summary
Systems and methods for collaborative imaging include a device for collaborative image capturing device comprising a computational image sensor including a imaging sensor configured to detect light signals from a field of view, and one or more processors configured to control at least one parameter of the imaging sensor and to adjust the at least one imaging sensor parameter based on a respective light signal detected by one or more other computational image sensors, and a network interface configured to exchange data with the one or more other computational image sensors, wherein the exchanged data indicates the respective light signals detected by the one or more other computational image sensors.