Smart Glasses Correction Algorithm for Projection Error Compensation
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Solution Overview
Problem
Existing image output systems, particularly those using smart glasses, face challenges in compensating for projection errors that result in image distortions and inaccuracies.
Innovation Solution
A method is implemented where a correction algorithm is executed to generate a corrected image by assigning stored positions and image-region parameters from a produced image using transformation functions, ensuring that the corrected image is output without projection errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a correction algorithm is executed to generate a corrected image from a produced image using transformation functions, then image accuracy and projection error compensation are improved, but computational complexity and processing time increase
Solution Approach 1:
The transformation functions are pre-calculated and stored in memory during a calibration phase, mapping each pixel position in the output image to its corresponding position in the produced image. During actual operation, the system only needs to perform simple memory lookups and parameter copying rather than complex real-time calculations, thus achieving high correction accuracy with minimal computational overhead
Solution Approach 2:
The system creates a corrected image by copying pixel data from the produced image to the corrected image according to pre-determined transformation functions. This copying process involves simple memory operations rather than complex computations, efficiently transferring image data while applying geometric corrections through pre-calculated position mappings
2Manufacturing precision
If transformation functions are used to assign positions and parameters for correction, then projection errors are compensated, but processing time and computational resources increase
Solution Approach 1:
All transformation functions including position mappings and parameter corrections are pre-calculated during system calibration and stored in memory. During image correction operations, the system performs only simple array lookups and data copying based on these pre-computed transformations, avoiding time-consuming calculations during actual image processing
Solution Approach 2:
The system performs complete position and parameter corrections for all pixels using pre-calculated transformation functions, ensuring thorough projection error compensation. The exhaustive application of transformation functions to every pixel guarantees accurate correction while the pre-computation keeps processing time minimal
Data Source
AI summary
A method to compensate for projection errors when outputting images using a smart-glasses system. At least one image is produced using an arithmetic logic unit of the system. The image produced or an image to be output is transmitted by the arithmetic logic unit to a micro-electromechanical output unit, particularly smart glasses, of the system. Before the image is output by the output unit, a correction algorithm is executed to generate a corrected image to be output. Image regions of the corrected image to be output are assigned at least one stored position within the produced image via at least one stored transformation function depending in each case on a position within the corrected image to be output. At least one image-region parameter is ascertained for the image regions to be generated depending in each case on the stored position assigned to the respective image region to be generated.