Lenticular Display Distortion Mapping for Crosstalk-Free 3D Viewing
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Solution Overview
Problem
Lenticular distortion in autostereoscopic displays occurs due to manufacturing defects in the lenticular sheet, causing crosstalk between left and right images and resulting in ghost images and eye-strain for the observer.
Innovation Solution
A method and apparatus that utilize a lenticular distortion tracking camera to capture fringe patterns from various angles, generating dual-component lenticular distortion maps based on intensity patterns and lenticular display parameters, which are used to adjust a swizzle function to compensate for distortion, ensuring clear 3D image viewing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a lenticular display is manufactured uniformly, then the 3D image can be viewed without noticeable distortion, but manufacturing defects in the lenticular sheet cause lenticular distortion and crosstalk between left and right images
Solution Approach 1:
The system performs preliminary measurement of the lenticular sheet's actual characteristics by capturing images at multiple angles and generating distortion maps before the display is put into service. This allows the swizzle function to be pre-calibrated to compensate for manufacturing defects, ensuring reliable image quality from the start.
Solution Approach 2:
The system continuously monitors and measures the actual lenticular distortion by capturing fringe patterns at various viewing angles and uses this feedback to generate updated distortion maps. These maps are fed back into the swizzle function to dynamically adjust and correct distortion in real-time, maintaining image quality consistency despite manufacturing variations.
2Reliability
If lenticular distortion is present, then crosstalk between left and right images occurs, but correcting distortion requires capturing images from multiple angles and generating complex distortion maps
Solution Approach 1:
The distortion correction is segmented into independent angular components by capturing images at multiple discrete angles (first angle, second angle, third angle) and generating separate distortion maps for each angle. This segmentation allows the complex 3D distortion field to be broken down into manageable 2D maps that can be processed and applied independently through the swizzle function.
Solution Approach 2:
The swizzle function serves as an intermediary between the raw display output and the final corrected image. It takes the original image data and the generated distortion maps as inputs, processes them through mathematical transformations, and outputs the corrected image that compensates for lenticular distortion, thereby eliminating crosstalk and ghost images.
3Reliability
If distortion correction is implemented in real-time, then clear 3D image viewing is enabled, but the system requires continuous image capture and processing
Solution Approach 1:
The system captures fringe patterns and generates distortion maps in advance before the actual 3D viewing occurs. By performing the measurement and correction data generation as a preliminary calibration step, the real-time viewing process does not need to perform these computationally intensive operations, reducing processing time during actual use.
Solution Approach 2:
Once the distortion maps are generated during calibration, the correction information is stored and applied continuously throughout the viewing period without requiring repeated image capture and processing. The swizzle function continuously applies the pre-computed correction data, maintaining distortion compensation without the time cost of repeated measurements.
Data Source
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AI summary
A method includes capturing an image (10a-310d, 410a-410d, and 510a-510d) of a lenticular display (102), generating a lenticular distortion map (205) of the lenticular display using the image, and compensating for a lenticular distortion of the lenticular display using the lenticular distortion map. An apparatus for performing the method includes the lenticular display, a lenticular distortion tracking camera (110), and at least one processor (150).