Multi-Channel Lens Distortion Correction via Scanning
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Solution Overview
Problem
Current wearable devices with head-mounted displays face challenges in preventing distortion of virtual reality images due to manufacturing tolerances in multi-channel lenses, leading to complex and time-consuming processes for extracting correction functions.
Innovation Solution
A mapping function extraction system that includes a scan unit to generate appearance data of multi-channel lenses, a comparison unit to derive correction data by comparing actual data with standard data, and an extraction unit to apply this correction data to a pre-stored standard mapping function, effectively reducing distortion in VR images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional methods are used to extract mapping functions for VR image distortion correction, then manufacturing precision requirements are met, but the extraction process becomes complex and time-consuming
Solution Approach 1:
The patent pre-stores standard appearance data and standard mapping functions obtained from ideal multi-channel lenses before actual production. During operation, these pre-prepared resources are directly applied to quickly generate correction mapping functions without requiring complex real-time extraction processes, thus reducing both time and complexity while maintaining precision
Solution Approach 2:
The patent creates a digital copy (appearance data) of the actual multi-channel lens through scanning, and compares it with the standard appearance data. This copying approach allows for quick identification of deviations without physically manipulating or complexly measuring the lens, simplifying the extraction process while ensuring accurate distortion correction
2Manufacturing precision
If traditional mapping function extraction methods are used, then distortion correction is achieved, but the time required for the mapping process increases
Solution Approach 1:
Standard appearance data and standard mapping functions are pre-calculated and stored before actual lens measurement. When a real lens is scanned, the system directly compares the scanned data with pre-stored standards and generates correction functions through simple data processing, reducing mapping time from hours to minutes while maintaining correction accuracy
Solution Approach 2:
The patent replaces complex mechanical measurement and iterative optimization methods with optical scanning and computational data processing. The scan unit captures lens appearance data optically, and the extraction unit uses algorithmic processing rather than mechanical adjustment, significantly reducing the time required for mapping function extraction
3Productivity
If standard mapping functions are used without customization, then processing time is reduced, but distortion correction accuracy deteriorates due to manufacturing tolerances
Solution Approach 1:
The patent applies different correction approaches to different parts of the lens system. The appearance data captures local variations in the actual lens structure, and the correction mapping function is customized to address specific local deviations from the standard lens design. This ensures high precision correction for each individual lens while maintaining efficient processing
Solution Approach 2:
The system adjusts the mapping function parameters based on the actual appearance data of each lens. By comparing scanned lens characteristics with standard data and modifying the mapping function accordingly, the system adapts to manufacturing tolerances and variations, achieving accurate distortion correction for each specific lens instance
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
This approach allows for rapid extraction of mapping functions, significantly reducing the time required for the mapping process and accurately correcting distortions in VR images by reflecting the actual appearance information of the multi-channel lenses.
Implementation Method 1
a scan unit (or scanner) configured to generate appearance data of a multi-channel lens by scanning the multi-channel lens
Implementation Method 2
a lens unit (or lens arrangement) including at least one multi-channel lens configured to provide a VR image by refracting and reflecting an image displayed on the display unit
Implementation Method 3
a lens unit (or lens arrangement) including at least one multi-channel lens configured to provide a VR image by refracting and reflecting an image displayed on the display unit
Data Source
AI summary
A mapping function extraction system includes a scan unit for generating appearance data of a multi-channel lens by scanning the multi-channel lens, a comparison unit for generating correction data by comparing the appearance data with pre-stored standard appearance data, and an extraction unit for generating a mapping function by applying the correction data to a pre-stored standard mapping function.