Warp Processing Circuit for AR Display Rotation Correction
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Solution Overview
Problem
Existing head-up display systems fail to effectively correct rotational and positional deviations caused by latency in augmented reality displays, leading to misalignment between virtual and real objects due to processing delays and lack of specific warp processing configurations.
Innovation Solution
A circuit device and display system that performs warp processing with coordinate conversion and rotation correction to minimize latency, using polynomial-based warp parameters for distortion and rotational deviation correction, reducing calculation time by performing matrix operations once.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vibration correction is performed using image processing and projection optical unit, then positional accuracy of virtual image is improved, but processing time increases due to multiple correction stages
Solution Approach 1:
The patent combines distortion correction and rotation correction into a single integrated coordinate conversion process. The coordinate converting section performs both corrections simultaneously by converting display coordinates to image coordinates using a composite transformation that includes both distortion parameters and rotation parameters, eliminating the need for separate processing stages and reducing overall processing time.
Solution Approach 2:
The patent pre-calculates and stores distortion correction parameters in a lookup table before runtime. During actual operation, the system only needs to perform coordinate conversion using these pre-computed parameters, significantly reducing real-time processing requirements and enabling faster correction without sacrificing accuracy.
2Measurement precision
If distortion correction and rotation correction are performed separately, then correction accuracy is improved, but calculation complexity increases
Solution Approach 1:
The patent merges distortion correction and rotation correction into a unified coordinate conversion operation. The coordinate converting section uses a single transformation process that simultaneously applies both distortion parameters and rotation parameters, maintaining correction accuracy while simplifying the overall calculation process by eliminating the need for separate correction stages.
Solution Approach 2:
The coordinate conversion system is designed to handle multiple correction functions through a single unified process. The same coordinate converting section performs both distortion correction and rotation correction, making the system multi-functional and reducing overall complexity despite the multiple correction objectives.
3Productivity
If polynomial-based warp parameters are used for coordinate conversion, then processing speed is improved, but precision may be reduced compared to complex correction algorithms
Solution Approach 1:
The patent uses polynomial-based warp parameters to represent the coordinate transformation relationship. By changing the mathematical representation to polynomials, the system achieves faster computation while maintaining sufficient precision for the application requirements. The polynomial order and coefficients are optimized to balance speed and accuracy.
Solution Approach 2:
The system pre-computes polynomial coefficients and stores them for rapid lookup during operation. This preliminary action allows the system to use simple polynomial evaluation during real-time processing, achieving high processing speed while maintaining precision through the use of pre-optimized polynomial models.
Data Source
AI summary
A circuit device includes a storing section configured to store a rendering image and a warp processing section. The warp processing section includes a coordinate converting section, a coordinate-address converting section, and an output section. The coordinate converting section converts, with coordinate conversion based on warp parameters and rotation correction parameters, an output coordinate, which is a coordinate on a display image, into an input coordinate, which is a coordinate on the rendering image. The coordinate-address converting section converts the input coordinate into a read address of the storing section. The output section reads out pixel data of the rendering image from the read address of the storing section and outputs, based on the read-out pixel data, pixel data in the output coordinate of the display image.