Diffraction Mask Stereo Imaging for Complete 3D Depth Capture
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Solution Overview
Problem
Traditional imaging techniques, including stereoscopic and multiscopic methods, suffer from a loss of depth information due to the nature of square-law detectors, which can only measure time-averaged light intensity, leading to incomplete 3D image representation.
Innovation Solution
The use of diffraction-grating-based imaging systems with multiple image capture devices, each equipped with a transmissive diffraction mask (TDM), to encode and decode depth information through diffracted light patterns, enabling the combination of stereoscopic and multiscopic depth information from overlapping fields of view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional square-law detectors (CCD/CMOS) are used to capture images, then the imaging system is simple and cost-effective, but depth information is lost due to measuring only time-averaged light intensity
Solution Approach 1:
A transmissive diffraction mask is introduced as an intermediary component between the scene and the image sensor. This mask encodes depth information by diffracting light at different angles based on the angle of incidence, allowing traditional intensity-measuring sensors to capture depth-encoded patterns without requiring complex sensor modifications
Solution Approach 2:
The system changes the measurement parameter from simple intensity to angle-dependent intensity patterns. By using a diffraction mask that creates angle-specific diffraction patterns, the system enables traditional sensors to measure depth information through variations in light intensity distribution caused by different incident angles
2Loss of information
If stereoscopic imaging is used to capture depth information, then depth data can be obtained in overlapping regions, but depth information is lost in non-overlapping or occluded regions
Solution Approach 1:
The transmissive diffraction mask enables each image capture device to independently capture depth information across its entire field of view, not just in overlapping regions. Each device becomes universally capable of measuring depth for all visible surfaces, eliminating the limitation of stereoscopic methods that only work in overlapping regions
Solution Approach 2:
Each image capture device with a diffraction mask independently measures depth information for surfaces visible to it, including occluded surfaces that are invisible to other devices. The system does not require complex coordination between devices to determine depth, as each device self-sufficiently captures depth data for its visible region
3Measurement precision
If multiple image capture devices are used for stereoscopic imaging, then depth information can be determined in overlapping regions, but the system complexity and data processing requirements increase
Solution Approach 1:
The system replaces the mechanical/geometric approach of stereoscopic imaging (requiring multiple devices at specific positions and angles) with an optical diffraction approach. A single device with a diffraction mask can achieve depth measurement without the complex spatial arrangement required by traditional stereoscopic systems
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
Enhances stereoscopic and multiscopic imaging by accurately determining and combining depth information from multiple viewpoints, improving the fidelity and completeness of 3D image reconstruction.
Implementation Method 1
a first transmissive diffraction mask (TDM) configured to encode first TDM depth information about the scene in the first image data... the first TDM is configured to diffract a first portion of light received from the scene to generate first diffracted light
Implementation Method 2
the first image capture device includes a first image sensor having a first set of pixels configured to detect the first diffracted light and generate therefrom a respective first set of pixel responses
Data Source
AI summary
Stereoscopic and multiscopic imaging methods and systems are disclosed. An example method can include capturing, with a first image capture device, first image data from a scene within a first field of view, and capturing, with a second image capture device, second image data from the scene within a second field of view overlapping with the first field of view over a stereoscopic overlap region, wherein either or both of the first and second image capture devices include a transmissive diffraction mask (TDM) configured to encode TDM depth information in the first and/or second image data. The method can also include determining stereoscopic depth information within the stereoscopic overlap region based on the first and second image data, determining the TDM depth information encoded in first and/or second image data, and generating combined depth information based on the stereoscopic depth information and the first and/or second TDM depth information.